Book

Generalization and Distributed Learning of GFlowNets Tiago Silva, Amauri Souza, Omar Rivasplata, Vikas Garg, Samuel Kaski, Diego Mesquita

Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation Carlos Soto, Matthew Reimherr, Aleksandra Slavkovic, Mark Shriver

Locality-aware Gaussian Compression for Fast and High-quality Rendering Seungjoo Shin, Jaesik Park, Sunghyun Cho

Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers Runyi Zhao, Sheng Xu, Bo Yue, Guiliang Liu

Beyond Worst-Case Dimensionality Reduction for Sparse Vectors Sandeep Silwal, David Woodruff, Qiuyi (Richard) Zhang

Differential Transformer Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei

Can We Ignore Labels in Out of Distribution Detection? Hong Yang, Qi Yu, Travis Desell

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu

VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration Dezhan Tu, Danylo Vashchilenko, Yuzhe Lu, Panpan Xu

CBMA: Improving Conformal Prediction through Bayesian Model Averaging Pankaj Bhagwat, Linglong Kong, Bei Jiang

OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision Cong Wei, Zheyang Xiong, Weiming Ren, Xeron Du, Ge Zhang, Wenhu Chen

Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajić, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Pinelopi Papalampidi, Ira Ktena, Christopher Knutsen, Cyrus Rashtchian, Anant Nawalgaria, Jordi Pont-Tuset, Aida Nematzadeh

VoxDialogue: Can Spoken Dialogue Systems Understand Information Beyond Words? Xize Cheng, Ruofan Hu, Xiaoda Yang, Jingyu Lu, Dongjie Fu, zehan wang, Shengpeng Ji, Rongjie Huang, Boyang Zhang, Tao Jin, Zhou Zhao

Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer XINYUE HU, Zhibin Duan, Bo Chen, Mingyuan Zhou

Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt Ryan Missel, Linwei Wang

Copyright-Protected Language Generation via Adaptive Model Fusion Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents Chris Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan Waltz, Gabrielle Lau, Marybeth Fair, Alice Li, William Bishop, Wei Li, Folawiyo Campbell-Ajala, Daniel Toyama, Robert Berry, Divya Tyamagundlu, Timothy Lillicrap, Oriana Riva

The Belief State Transformer Edward Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford

ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah

Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs Haowen Pan, Xiaozhi Wang, Yixin Cao, Zenglin Shi, Xun Yang, Juanzi Li, Meng Wang

Rethinking Invariance in In-context Learning Lizhe Fang, Yifei Wang, Khashayar Gatmiry, Lei Fang, Yisen Wang

MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge yuntao du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li

SEBRA : Debiasing through Self-Guided Bias Ranking Adarsh Kappiyath, Abhra Chaudhuri, AJAY JAISWAL, Ziquan Liu, Yunpeng Li, Xiatian Zhu, Lu Yin

PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing Feng Tian, Yixuan Li, Yichao Yan, Shanyan Guan, Yanhao Ge, Xiaokang Yang

BP-Modified Local Loss for Efficient Training of Deep Neural Networks REN Lianhai, Qianxiao Li

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

Procedural Synthesis of Synthesizable Molecules Michael Sun, Alston Lo, Minghao Guo, Jie Chen, Connor Coley, Wojciech Matusik

Real2Code: Reconstruct Articulated Objects via Code Generation Mandi Zhao, Yijia Weng, Dominik Bauer, Shuran Song

Lossy Compression with Pretrained Diffusion Models jeremy vonderfecht, Feng Liu

An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression Xiang Liu, Bin Chen, Zimo Liu, Yaowei Wang, Shu-Tao Xia

Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal, Andreas Krause, Viacheslav (Slava) Borovitskiy

AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly Hongyu Guo, Yoshua Bengio, Shengchao Liu

Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae, Danica Sutherland, Gabriel Oliveira

UniRestore3D: A Scalable Framework For General Shape Restoration Yuang Wang, Yujian Zhang, Sida Peng, Xingyi He, Haoyu Guo, Yujun Shen, Hujun Bao, Xiaowei Zhou

Optimal Transport for Time Series Imputation Hao Wang, zhengnan li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen

Attention with Markov: A Curious Case of Single-layer Transformers Ashok Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar

Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models Zeman Li, Xinwei Zhang, Peilin Zhong, Yuan Deng, Meisam Razaviyayn, Vahab Mirrokni

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein

FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference Xunhao Lai, Jianqiao Lu, Yao Luo, Yiyuan Ma, Xun Zhou

From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao

LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently Xue Han, Yitong Wang, Junlan Feng, wenchun.gao, Qian Hu, Chao Deng

OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation Kepan Nan, Rui Xie, Penghao Zhou, Tiehan Fan, Zhenheng Yang, Zhijie Chen, Xiang Li, Jian Yang, Ying Tai

Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports Yi Xu, Yun Fu

PEARL: Parallel Speculative Decoding with Adaptive Draft Length Tianyu Liu, Yun Li, Qitan Lv, Kai Liu, Jianchen Zhu, Winston Hu, Xiao Sun

ThermalGaussian: Thermal 3D Gaussian Splatting Rongfeng Lu, Hangyu Chen, Zunjie Zhu, Yuhang Qin, Ming Lu, Le zhang, Chenggang Yan, anke xue

Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity Jiachen Jiang, Jinxin Zhou, Zhihui Zhu

High-Quality Joint Image and Video Tokenization with Causal VAE Dawit Mureja Argaw, Xian Liu, Qinsheng Zhang, Joon Son Chung, Ming-Yu Liu, Fitsum Reda

Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification Hsun-Yu Kuo, Yin-Hsiang Liao, Yu-Chieh Chao, Wei-Yun Ma, Pu-Jen Cheng

Remove Symmetries to Control Model Expressivity and Improve Optimization Liu Ziyin, Yizhou Xu, Isaac Chuang

ImDy: Human Inverse Dynamics from Imitated Observations Xinpeng Liu, Junxuan Liang, Zili Lin, Haowen Hou, Yong-Lu Li, Cewu Lu

Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi, Yongxin Chen, Jaewoong Choi

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou, Wenhu Chen

A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyong Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon, Sung Ju Hwang

A Theoretical Analysis of Self-Supervised Learning for Vision Transformers Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang

Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning Menglong Zhang, Fuyuan Qian, Quanying Liu

Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics Josiah Kratz, Jacob Adamczyk

Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning Fan Yao, Yuwei Cheng, Ermin Wei, Haifeng Xu

Confidence Elicitation: A New Attack Vector for Large Language Models Brian Formento, Chuan Sheng Foo, See-Kiong Ng

URLOST: Unsupervised Representation Learning without Stationarity or Topology Zeyu Yun, Juexiao Zhang, Yann LeCun, Yubei Chen

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang, Tianhong Gao, Chunping Wang, YihaoShang, Wei Chow, Lei CHEN, Yang Yang

LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye HAO, Feng Wu

Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization Wei LIN, Jia Wan, Antoni Chan

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits Ashish Khisti, MohammadReza Ebrahimi, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos

Text4Seg: Reimagining Image Segmentation as Text Generation Mengcheng Lan, Chaofeng Chen, Yue Zhou, Jiaxing Xu, Yiping Ke, Xinjiang Wang, Litong Feng, Wei Zhang

MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, jiayi lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Gao Peng, Yu Liu, Chunyuan Li, Hongsheng Li

Adaptive Pruning of Pretrained Transformer via Differential Inclusions yizhuo Ding, Ke Fan, Yikai Wang, Xinwei Sun, Yanwei Fu

Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling Sirui Li, Wenbin Ouyang, Yining Ma, Cathy Wu

Variational Search Distributions Dan Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin Bonilla

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb

Can LLMs Understand Time Series Anomalies? Zihao Zhou, Rose Yu

Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes Isabella Liu, Hao Su, Xiaolong Wang

Kernel-based Optimally Weighted Conformal Time-Series Prediction Jonghyeok Lee, Chen Xu, Yao Xie

Robustness Inspired Graph Backdoor Defense Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip Yu

PhysPDE: Rethinking PDE Discovery and a Physical HYpothesis Selection Benchmark Mingquan Feng, Yixin Huang, Yizhou Liu, Bofang Jiang, Junchi Yan

SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, patrick Gallinari

ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels Benjamin Spector, Simran Arora, Aaryan Singhal, Arjun Parthasarathy, Dan Fu, Christopher Re

Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess, Stefan Feuerriegel

Linear Partial Gromov-Wasserstein Embedding Yikun Bai, Abihith Kothapalli, Hengrong Du, Rocio Diaz Martin, Soheil Kolouri

Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises Zirun Guo, Tao Jin

How efficient is LLM-generated code? A rigorous & high-standard benchmark Ruizhong Qiu, Weiliang Zeng, James Ezick, Christopher Lott, Hanghang Tong

Improving Long-Text Alignment for Text-to-Image Diffusion Models Luping Liu, Chao Du, Tianyu Pang, zehan wang, Chongxuan Li, Dong Xu

Lipschitz Bandits in Optimal Space Xiaoyi Zhu, Zengfeng Huang

Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma

Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration Kang Liao, Zongsheng Yue, Zhouxia Wang, Chen Change Loy

Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor, Anton Hengel

ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time Yi Ding, Bolian Li, Ruqi Zhang

Planning in Natural Language Improves LLM Search for Code Generation Evan Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, William Song, Vaskar Nath, Ziwen Han, Sean Hendryx, Summer Yue, Hugh Zhang

PICASO: Permutation-Invariant Context Composition with State Space Models Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto

Balanced Ranking with Relative Centrality: A multi-core periphery perspective Chandra Sekhar Mukherjee, Jiapeng Zhang

Graph Transformers Dream of Electric Flow Xiang Cheng, Lawrence Carin, Suvrit Sra

Can a Large Language Model be a Gaslighter? Wei Li, Luyao Zhu, Yang Song, Ruixi Lin, Rui Mao, Yang You

Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement Haijin Zeng, Benteng Sun, Yongyong Chen, Jingyong Su, Yong Xu

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs Dung Nguyen, Thang Phan, Nam Le Hai, Thong Doan, Nam Nguyen, Quang Pham, Nghi Bui

Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint Junwei Zhou, Xueting Li, Lu Qi, Ming-Hsuan Yang

Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception Zihan Ding, Jiahui Fu, Si Liu, Hongyu Li, Siheng Chen, Hongsheng Li, Shifeng Zhang, Xu Zhou

The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo

Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs Shuo Li, Tao Ji, Xiaoran Fan, Linsheng Lu, Leyi Yang, Yuming Yang, Zhiheng Xi, Rui Zheng, Yuran Wang, xh.zhao, Tao Gui, Qi Zhang, Xuanjing Huang

3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting Qihang Zhang, Yinghao Xu, Chaoyang Wang, Hsin-Ying Lee, Gordon Wetzstein, Bolei Zhou, Ceyuan Yang

Inverse Attention Agents for Multi-Agent Systems Qian Long, Ruoyan Li, Minglu Zhao, Tao Gao, Demetri Terzopoulos

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? John Yang, Carlos E Jimenez, Alex Zhang, Kilian Lieret, Joyce Yang, Xindi Wu, Ori Press, Niklas Muennighoff, Gabriel Synnaeve, Karthik Narasimhan, Diyi Yang, Sida Wang, Ofir Press

Deconstructing What Makes a Good Optimizer for Autoregressive Language Models Rosie Zhao, Depen Morwani, David Brandfonbrener, Nikhil Vyas, Sham Kakade

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo

Fast Summation of Radial Kernels via QMC Slicing Johannes Hertrich, Tim Jahn, Michael Quellmalz

A Conditional Independence Test in the Presence of Discretization Boyang Sun, Yu Yao, Guang-Yuan Hao, Qiu, Kun Zhang

BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data Parsa Vahidi, Omid G. Sani, Maryam Shanechi

Underdamped Diffusion Bridges with Applications to Sampling Denis Blessing, Julius Berner, Lorenz Richter, Gerhard Neumann

Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning Chongjie Si, Xuehui Wang, Xue Yang, Zhengqin Xu, Qingyun Li, Jifeng Dai, Yu Qiao, Xiaokang Yang, Wei Shen

A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu

Decision Tree Induction Through LLMs via Semantically-Aware Evolution Tennison Liu, Nicolas Huynh, Mihaela van der Schaar

Data Unlearning in Diffusion Models Silas Alberti, Kenan Hasanaliyev, Manav Shah, Stefano Ermon

Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement Jaehun Jung, Faeze Brahman, Yejin Choi

ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset Kartik Thakral, Rishabh Ranjan, Akanksha Singh, Akshat Jain, Mayank Vatsa, Richa Singh

An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi Jaakkola, Caroline Uhler

Towards Optimal Multi-draft Speculative Decoding Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan Rossi, Yihan Wu, Dinesh Manocha, Heng Huang

FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian

Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization Rei Higuchi, Pierre-Louis Poirion, Akiko Takeda

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Gong Zhi, Yankai Lin, Ji-Rong Wen

Real-Time Video Generation with Pyramid Attention Broadcast Xuanlei Zhao, Xiaolong Jin, Kai Wang, Yang You

DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu, Xin Gao, Junfeng Zhao, Yasha Wang

A Causal Lens for Learning Long-term Fair Policies Jacob Lear, Lu Zhang

Physics-Informed Diffusion Models Jan-Hendrik Bastek, WaiChing Sun, Dennis Kochmann

SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E Gonzalez, Bin CUI, Shuicheng YAN

A General Framework for Off-Policy Learning with Partially-Observed Reward Rikiya Takehi, Masahiro Asami, Kosuke Kawakami, Yuta Saito

ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler Serin Yang, Taesung Kwon, Jong Chul YE

ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction Ziyu Tang, Weicai Ye, Yifan Wang, Di Huang, Hujun Bao, Tong He, Guofeng Zhang

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing HONG, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong

Discovering Group Structures via Unitary Representation Learning Dongsung Huh

Learning LLM-as-a-Judge for Preference Alignment Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun LIU

Transformers Learn Low Sensitivity Functions: Investigations and Implications Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan

ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering Zhixin Li, Yuheng Jia

BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting

On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime Hengquan Guo, Xin Liu

CycleResearcher: Improving Automated Research via Automated Review Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang

Looking Inward: Language Models Can Learn About Themselves by Introspection Felix Jedidja Binder, James Chua, Tomek Korbak, Henry Sleight, John Hughes, Robert Long, Ethan Perez, Miles Turpin, Owain Evans

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua

Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo Garcia, Mingyi Hong

Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching Lile Cai, Chuan Sheng Foo, Xun Xu, ZAIWANG GU, Jun Cheng, xulei yang

AgentSquare: Automatic LLM Agent Search in Modular Design Space Yu Shang, Yu Li, Keyu Zhao, Likai Ma, Jiahe Liu, Fengli Xu, Yong Li

Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

Generalized Behavior Learning from Diverse Demonstrations Varshith Sreeramdass, Rohan Paleja, Letian Chen, Sanne van Waveren, Matthew Gombolay

Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study Lili Zhao, Yang Wang, Qi Liu, Mengyun Wang, Wei Chen, Zhichao Sheng, Shijin Wang

Number Cookbook: Number Understanding of Language Models and How to Improve It Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang

HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment YOUHE JIANG, Ran Yan, Binhang Yuan

Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron Courville

Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study Shawn Tan, Songlin Yang, Aaron Courville, Rameswar Panda, Yikang Shen

Self-Improving Robust Preference Optimization Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song

Understanding Factual Recall in Transformers via Associative Memories Eshaan Nichani, Jason Lee, Alberto Bietti

Reasoning of Large Language Models over Knowledge Graphs with Super-Relations Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu

Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification Santiago Cortes-Gomez, Carlos Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder

Aligned Better, Listen Better for Audio-Visual Large Language Models Yuxin Guo, Shuailei Ma, Shijie Ma, Xiaoyi Bao, Chen-Wei Xie, Kecheng Zheng, Tingyu Weng, Siyang Sun, Yun Zheng, Wei Zou

Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems Shihong Song, Guanlin Mo, Hu Ding

Calibrating LLMs with Information-Theoretic Evidential Deep Learning Yawei Li, David Rügamer, Bernd Bischl, Mina Rezaei

Fugatto 1: Foundational Generative Audio Transformer Opus 1 Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, Joao Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander Liu, Kevin Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro

Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling Haiyang Jiang, Tetsuichi Wazawa, Imari Sato, Takeharu Nagai, Yinqiang Zheng

A Watermark for Order-Agnostic Language Models Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang

Selective Attention Improves Transformer Yaniv Leviathan, Matan Kalman, Yossi Matias

Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning Yilun Li, Miaomiao Cheng, Xu Han, Wei Song

Towards Bridging Generalization and Expressivity of Graph Neural Networks Shouheng Li, Floris Geerts, Dongwoo Kim, Qing Wang

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan Rossi, Changyou Chen, Tong Sun

Chunk-Distilled Language Modeling Yanhong Li, Karen Livescu, Jiawei Zhou

Model merging with SVD to tie the Knots George Stoica, Pratik Ramesh, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman

On the Crucial Role of Initialization for Matrix Factorization Bingcong Li, Liang Zhang, Aryan Mokhtari, Niao He

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark

Memory Efficient Transformer Adapter for Dense Predictions Dong Zhang, Rui Yan, Pingcheng Dong, Kwang-Ting Cheng

Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling Yuejiang Liu, Jubayer Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn

Re-Aligning Language to Visual Objects with an Agentic Workflow Yuming Chen, Jiangyan Feng, Haodong Zhang, Lijun GONG, Feng Zhu, Rui Zhao, Qibin Hou, Ming-Ming Cheng, Yibing Song

FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Yunlong Yuan, Yuanfan Guo, Chunwei Wang, Wei Zhang, Hang Xu, Li Zhang

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vazquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Laradji

Decoupling Layout from Glyph in Online Chinese Handwriting Generation Minsi Ren, Yan-Ming Zhang, yi chen

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Krzysztof Kacprzyk, Mihaela van der Schaar

LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics Thomas Robert, Mher Safaryan, Ionut-Vlad Modoranu, Dan Alistarh

Human-Aligned Chess With a Bit of Search Yiming Zhang, Athul Jacob, Vivian Lai, Daniel Fried, Daphne Ippolito

dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation Emanuele Zangrando, Sara Venturini, Francesco Rinaldi, Francesco Tudisco

Adversarial Search Engine Optimization for Large Language Models Fredrik Nestaas, Edoardo Debenedetti, Florian Tramer

Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL Cevahir Koprulu, Franck Djeumou, ufuk topcu

ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials Pin Chen, Zexin Xu, Qing Mo, Hongjin Zhong, Fengyang Xu, Yutong Lu

Latent Radiance Fields with 3D-aware 2D Representations Chaoyi Zhou, Xi Liu, Feng Luo, Siyu Huang

Inner Information Analysis Algorithm for Deep Neural Network based on Community Guipeng Lan, Shuai Xiao, Meng Xi, Jiabao Wen, Jiachen Yang

How new data permeates LLM knowledge and how to dilute it Chen Sun, Renat Aksitov, Andrey Zhmoginov, Nolan Miller, Max Vladymyrov, Ulrich Rueckert, Been Kim, Mark Sandler

Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux, Caglar Gulcehre

Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei BI, Jiawei Han, Hao Peng, Lingpeng Kong

Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds Michael Chen, A. Pavan, N. V. Vinodchandran, Ruosong Wang, Lin Yang

OS-ATLAS: Foundation Action Model for Generalist GUI Agents Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, Yian Wang, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng Chen, Paul Pu Liang, Yu Qiao

DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen, Hoang Pham, Khoat Than, Long Tran-Thanh, Hongkai Wen

Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning Giseung Park, Youngchul Sung

Agents' Room: Narrative Generation through Multi-step Collaboration Fantine Huot, Reinald Kim Amplayo, Jennimaria Palomaki, Alice Shoshana Jakobovits, Elizabeth Clark, Mirella Lapata

Counterfactual Concept Bottleneck Models Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich

Multi-objective antibody design with constrained preference optimization Milong Ren, ZaiKai He, Haicang Zhang

CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing Ziqi Jiang, Zhen Wang, Long Chen

Robust LLM safeguarding via refusal feature adversarial training Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda

A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi

ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains Yein Park, Chanwoong Yoon, Jungwoo Park, Donghyeon Lee, Minbyul Jeong, Jaewoo Kang

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti, Carl Ek, Amanda Prorok

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Guangkun Nie, Gongzheng Tang, Shenda Hong

Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations Yudi Xie, Weichen Huang, Esther Alter, Jeremy Schwartz, Joshua B Tenenbaum, James DiCarlo

What to align in multimodal contrastive learning? Benoit Dufumier, Javiera Castillo Navarro, Devis Tuia, Jean-Philippe Thiran

Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation Minghan Chen, Guikun Chen, Wenguan Wang, Yi Yang

Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab, Anna Korba, Austin Stromme, Adrien Vacher

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis, Deva Ramanan, Russ Salakhutdinov, Louis-Philippe Morency, Katia Sycara, Yaqi Xie

Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo Adebiyi, Bach Do, Ruda Zhang

Learning Clustering-based Prototypes for Compositional Zero-Shot Learning Hongyu Qu, Jianan Wei, Xiangbo Shu, Wenguan Wang

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin Yakovlev, Aleksandr Panov

Large Language Models can Become Strong Self-Detoxifiers Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel

FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields Shihao Shao, Haoran Geng, Zun Wang, Qinghua Cui

Sort-free Gaussian Splatting via Weighted Sum Rendering Qiqi Hou, Randall Rauwendaal, Zifeng Li, Hoang Le, Farzad Farhadzadeh, Fatih Porikli, Alexei Bourd, Amir Said

Is Large-scale Pretraining the Secret to Good Domain Generalization? Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan Plummer, Kate Saenko

DRoP: Distributionally Robust Data Pruning Artem Vysogorets, Kartik Ahuja, Julia Kempe

The Optimization Landscape of SGD Across the Feature Learning Strength Alexander Atanasov, Alexandru Meterez, James Simon, Cengiz Pehlevan

Efficient Learning with Sine-Activated Low-Rank Matrices Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey

A New Perspective on Shampoo's Preconditioner Depen Morwani, Itai Shapira, Nikhil Vyas, Eran Malach, Sham Kakade, Lucas Janson

TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention Lijie Yang, Zhihao Zhang, Zhuofu Chen, Zikun Li, Zhihao Jia

Injecting Universal Jailbreak Backdoors into LLMs in Minutes Zhuowei Chen, qiannan zhang, Shichao Pei

Towards Learning High-Precision Least Squares Algorithms with Sequence Models Jerry Liu, Jessica Grogan, Owen Dugan, Ashish Rao, Simran Arora, Atri Rudra, Christopher Re

From Search to Sampling: Generative Models for Robust Algorithmic Recourse Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi

Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang

SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Yongxing Zhang, Donglin Yang, Renjie Liao

Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires Paidamoyo Chapfuwa, Ilker Demirel, Lorenzo Pisani, Javier Zazo, Elon Portugaly, H. Zahid, Julia Greissl

MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Y Zou, Cihang Xie, Yuyin Zhou

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation Mufei Li, Siqi Miao, Pan Li

Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation Lun Wang

T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, anima anandkumar

Safety-Prioritizing Curricula for Constrained Reinforcement Learning Cevahir Koprulu, Thiago Simão, Nils Jansen, ufuk topcu

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu

Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods Akira Ito, Masanori Yamada, Atsutoshi Kumagai

Provable Uncertainty Decomposition via Higher-Order Calibration Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan, Charlotte Peale, Udi Wieder

Ask, and it shall be given: On the Turing completeness of prompting Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong

Efficient Top-m Data Values Identification for Data Selection Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low

Improved Techniques for Optimization-Based Jailbreaking on Large Language Models Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Linbao Li, Yannan Liu, Daojing He, YU LI

Towards Federated RLHF with Aggregated Client Preference for LLMs Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao

FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling zhengqiang ZHANG, Ruihuang Li, Lei Zhang

Glauber Generative Model: Discrete Diffusion Models via Binary Classification Harshit Varma, Dheeraj Nagaraj, Karthikeyan Shanmugam

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy

A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng

DUALFormer: Dual Graph Transformer Zhuo Jiaming, Yuwei Liu, Yintong Lu, Ziyi Ma, Kun Fu, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models Logan Cross, Violet Xiang, Agam Bhatia, Daniel Yamins, Nick Haber

Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen Alessandro Palma, Till Richter, Hanyi Zhang, Manuel Lubetzki, Alexander Tong, Andrea Dittadi, Fabian Theis

How Much is Unseen Depends Chiefly on Information About the Seen Seongmin Lee, Marcel Boehme

An Undetectable Watermark for Generative Image Models Samuel Gunn, Xuandong Zhao, Dawn Song

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization Guanzheng Chen, Xin Li, Michael Qizhe Shieh, Lidong Bing

Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang

3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation Xiao Fu, Xian Liu, Xintao WANG, Sida Peng, Menghan Xia, Xiaoyu Shi, Ziyang Yuan, Pengfei Wan, Di ZHANG, Dahua Lin

SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler, Tam Le, Vu Nguyen

Regretful Decisions under Label Noise Sujay Nagaraj, Yang Liu, Flavio Calmon, Berk Ustun

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Peiran Xu, Yadong MU

Pareto Prompt Optimization Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian

What Matters When Repurposing Diffusion Models for General Dense Perception Tasks? Guangkai Xu, yongtao ge, Mingyu Liu, Chengxiang Fan, Kangyang Xie, Zhiyue Zhao, Hao Chen, Chunhua Shen

Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao

MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian Yen, Avner May, Tianqi Chen, Beidi Chen

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs Yuhao Wu, Ming Shan Hee, Zhiqiang Hu, Roy Ka-Wei Lee

Stochastic Bandits Robust to Adversarial Attacks Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C.S. Lui, Mohammad Hajiesmaili

FreDF: Learning to Forecast in the Frequency Domain Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao

ScImage: How good are multimodal large language models at scientific text-to-image generation? Leixin Zhang, Steffen Eger, Yinjie Cheng, Weihe Zhai, Jonas Belouadi, Fahimeh Moafian, Zhixue Zhao

Learning Transformer-based World Models with Contrastive Predictive Coding Maxime Burchi, Radu Timofte

Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Thomas Guan, Tiejun Li, Yiu-ming Cheung

Visual Agents as Fast and Slow Thinkers Guangyan Sun, Mingyu Jin, Zhenting Wang, Chenglong Wang, Siqi Ma, Qifan Wang, Tong Geng, Yingnian Wu, Yongfeng Zhang, Dongfang Liu

eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels Alexander DeRieux, Walid Saad

CBQ: Cross-Block Quantization for Large Language Models Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Bo XU

The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures Xiaoyi MAI, Zhenyu Liao

Learning Spatial-Semantic Features for Robust Video Object Segmentation Xin Li, Deshui Miao, Zhenyu He, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang

Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts Guorui Zheng, Xidong Wang, Juhao Liang, Nuo Chen, 余平郑, Wang Benyou

Linear Representations of Political Perspective Emerge in Large Language Models Junsol Kim, James Evans, Aaron Schein

Uncertainty-Aware Decoding with Minimum Bayes Risk Nico Daheim, Clara Meister, Thomas Möllenhoff, Iryna Gurevych

Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields Brandon Zhao, Aviad Levis, Liam Connor, Pratul Srinivasan, Katherine Bouman

SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches Hiroyuki Deguchi, Go Kamoda, Yusuke Matsushita, Chihiro Taguchi, Kohei Suenaga, Masaki Waga, Sho Yokoi

From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee, Dimitris Papailiopoulos

Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology Xiangyu Wang, Donglin Yang, ziqin wang, Hohin Kwan, Jinyu Chen, wenjun wu, Hongsheng Li, Yue Liao, Si Liu

Identifiability for Gaussian Processes with Holomorphic Kernels Ameer Qaqish, Didong Li

Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion Kaizhe Hu, Zihang Rui, Yao He, Yuyao Liu, Pu Hua, Huazhe Xu

Truncated Consistency Models Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie

Zero-cost Proxy for Adversarial Robustness Evaluation Yuqi Feng, Yuwei Ou, Jiahao Fan, Yanan Sun

Learning from negative feedback, or positive feedback or both Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari, Jost Springenberg, Tim Hertweck, Michael Bloesch, Rishabh Joshi, Thomas Lampe, Junhyuk Oh, Nicolas Heess, Jonas Buchli, Martin Riedmiller

MANTRA: The Manifold Triangulations Assemblage Rubén Ballester, Ernst Roell, Daniel Bin Schmid, Mathieu Alain, Sergio Escalera, Carles Casacuberta, Bastian Rieck

What Matters in Learning from Large-Scale Datasets for Robot Manipulation Vaibhav Saxena, Matthew Bronars, Nadun Ranawaka Arachchige, Kuancheng Wang, Woo Shin, Soroush Nasiriany, Ajay Mandlekar, Danfei Xu

Emergence of meta-stable clustering in mean-field transformer models Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi

Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization Juntao Dai, Taiye Chen, Yaodong Yang, Qian Zheng, Gang Pan

AnoLLM: Large Language Models for Tabular Anomaly Detection Che-Ping Tsai, Ganyu Teng, Phillip Wallis, Wei Ding

TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models Ziyao Shangguan, Chuhan Li, Yuxuan Ding, Yanan Zheng, Yilun Zhao, Tesca Fitzgerald, Arman Cohan

SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars Jaeseong Lee, Taewoong Kang, Marcel Buehler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo

Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality Sungyoon Kim, Aaron Mishkin, Mert Pilanci

WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian Schiffer

Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods Buelent Uendes, Shujian Yu, Mark Hoogendoorn

Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan

Adam Exploits $\ell_\infty$-geometry of Loss Landscape via Coordinate-wise Adaptivity Shuo Xie, Mohamad Amin Mohamadi, Zhiyuan Li

Bridging Compressed Image Latents and Multimodal Large Language Models Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi

HOPE for a Robust Parameterization of Long-memory State Space Models Annan Yu, Michael W Mahoney, N. Benjamin Erichson

Linear combinations of latents in generative models: subspaces and beyond Erik Bodin, Alexandru Stere, Dragos Margineantu, Carl Ek, Henry Moss

AgentStudio: A Toolkit for Building General Virtual Agents Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng YAN

Does SGD really happen in tiny subspaces? Minhak Song, Kwangjun Ahn, Chulhee Yun

Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension Huanjian Zhou, Lingxiao Huang, Baoxiang Wang

Strength Estimation and Human-Like Strength Adjustment in Games Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu

Theory on Mixture-of-Experts in Continual Learning Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness Shroff

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong

Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization Xingyu Jiang, Ning Gao, Xiuhui Zhang, Hongkun Dou, Yue Deng

ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks Prakash Chandra Chhipa, Gautam Vashishtha, Jithamanyu Settur, Rajkumar Saini, Mubarak Shah, Marcus Liwicki

Swift4D: Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene Jiahao Wu, Rui Peng, Zhiyan Wang, Lu Xiao, Luyang Tang, Jinbo Yan, Kaiqiang Xiong, Ronggang Wang

Revisit the Open Nature of Open Vocabulary Semantic Segmentation Qiming Huang, Han Hu, Jianbo Jiao

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction Zhenchang Xing, Yang Liu, Zhuo Cheng, Qing Huang, Dehai Zhao, Daniel SUN, Chenhua Liu

HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks Jiuding Sun, Jing Huang, Sidharth Baskaran, Karel D'Oosterlinck, Christopher Potts, Michael Sklar, Atticus Geiger

REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang

Linear SCM Identification in the Presence of Confounders and Gaussian Noise Vahideh Sanjaroonpouri, Pouria Ramazi

Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

ControlAR: Controllable Image Generation with Autoregressive Models Zongming Li, Tianheng Cheng, Shoufa Chen, Peize Sun, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang

Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF Zhaolin Gao, Wenhao Zhan, Jonathan Chang, Gokul Swamy, Kianté Brantley, Jason Lee, Wen Sun

ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs Hao Di, Tong He, Haishan Ye, Yinghui Huang, Xiangyu Chang, Guang Dai, Ivor Tsang

Learning Molecular Representation in a Cell Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne Carpenter, Meng Jiang, Shantanu Singh

Conformal Structured Prediction Botong Zhang, Shuo Li, Osbert Bastani

Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks Manohar Kaul, Aditya Saibewar, Sadbhavana Babar

To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts Yukun Huang, Sanxing Chen, Hongyi Cai, Bhuwan Dhingra

Rethinking the role of frames for SE(3)-invariant crystal structure modeling Yusei Ito, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kanta Ono

Differential learning kinetics govern the transition from memorization to generalization during in-context learning Alex Nguyen, Gautam Reddy Nallamala

Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation Shengyuan Zhang, Ling Yang, Zejian Li, An Zhao, Chenye Meng, Changyuan Yang, Guang Yang, Zhiyuan Yang, Lingyun Sun

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) Leander Girrbach, Stephan Alaniz, Yiran Huang, trevor darrell, Zeynep Akata

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang

ADMM for Structured Fractional Minimization Ganzhao Yuan

Balancing Bias in Two-sided Markets for Fair Stable Matchings Siyuan Wu, Leong Hou U, Panagiotis Karras

Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning Shengyuan Hu, Yiwei Fu, Steven Wu, Virginia Smith

Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow Hongru Yang, Zhangyang Wang, Jason Lee, Yingbin Liang

CAX: Cellular Automata Accelerated in JAX Maxence Faldor, Antoine Cully

BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models Yu Feng, Ben Zhou, Weidong Lin, Dan Roth

Enhancing Prediction Performance through Influence Measure Shuguang Yu, Wenqian Xu, Xinyi Zhou, Xuechun Wang, Hongtu Zhu, Fan Zhou

PAD: Personalized Alignment of LLMs at Decoding-time Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu

BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation Diego García Cerdas, Christina Sartzetaki, Magnus Petersen, Gemma Roig, Pascal Mettes, Iris Groen

$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee Wenye Li, Jiacai Liu, Ke Wei

Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment Minh-Quan Le, Gaurav Mittal, Tianjian Meng, A S M Iftekhar, Vishwas Suryanarayanan, Barun Patra, Dimitris Samaras, Mei Chen

Oracle efficient truncated statistics Konstantinos Karatapanis, Vasilis Kontonis, Christos Tzamos

Training Free Exponential Context Extension via Cascading KV Cache Jeff Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang

RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression Hengzhe Zhang, Qi Chen, Bing XUE, Wolfgang Banzhaf, Mengjie Zhang

Training Free Guided Flow-Matching with Optimal Control Luran Wang, Chaoran Cheng, Yizhen Liao, Yanru Qu, Ge Liu

Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback Michelle Zhao, Henny Admoni, Reid Simmons, Aaditya Ramdas, Andrea Bajcsy

Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap Christopher Liao, Christian So, Theodoros Tsiligkaridis, Brian Kulis

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma

Adaptive teachers for amortized samplers Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio

How Gradient descent balances features: A dynamical analysis for two-layer neural networks Zhenyu Zhu, Fanghui Liu, Volkan Cevher

LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation Fangxun Shu, Yue Liao, Lei Zhang, Le Zhuo, Chenning Xu, Guanghao Zhang, Haonan Shi, Weilong Dai, ZhongTao, Zhelun Yu, Wanggui He, Siming Fu, Haoyuan Li, Si Liu, Hongsheng Li, Hao Jiang

Can Textual Gradient Work in Federated Learning? Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li

COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation Yudong Zhang, Xuan Yu, Xu Wang, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang

Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Ya-Wei Eileen Lin, Ronald Coifman, Gal Mishne, Ronen Talmon

GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs Kalliopi Basioti, Pritish Sahu, Qingze Liu, Zihao Xu, Hao Wang, Vladimir Pavlovic

A Statistical Framework for Ranking LLM-based Chatbots Siavash Ameli, Siyuan Zhuang, Ion Stoica, Michael W Mahoney

Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks Rushang Karia, Daniel Bramblett, Daksh Dobhal, Siddharth Srivastava

Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining Wonhyeok Choi, Kyumin Hwang, Wei Peng, Minwoo Choi, Sunghoon Im

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong

Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov

Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness Shroff

I Can Hear You: Selective Robust Training for Deepfake Audio Detection Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao

DataMan: Data Manager for Pre-training Large Language Models Ru Peng, Kexin Yang, Yawen Zeng, Junyang Lin, Dayiheng Liu, Junbo Zhao

DEPfold: RNA Secondary Structure Prediction as Dependency Parsing. Ke Wang, Shay B Cohen

ContextGNN: Beyond Two-Tower Recommendation Systems Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Manan Shah, Blaz Stojanovic, Shenyang(Andy) Huang, Jan E Lenssen, Jure Leskovec, Matthias Fey

LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli

CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter Norgaard, Nayantara Mudur, Martyna Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael Statt, Dan Morris, Drew Purves, Elise Kleeman, Ruth Alcantara, Matthew Abraham, Muqthar Mohammad, Ean VanLee, Chenfei Jiang, Elizabeth Dorfman, Eun-Ah Kim, Michael Brenner, Sameera Ponda, Subhashini Venugopalan

Lasso Bandit with Compatibility Condition on Optimal Arm Harin Lee, Taehyun Hwang, Min-hwan Oh

{$\tau$}-bench: A Benchmark for \underline{T}ool-\underline{A}gent-\underline{U}ser Interaction in Real-World Domains Shunyu Yao, Noah Shinn, Pedram Razavi, Karthik Narasimhan

Scalable Mechanistic Neural Networks Jiale Chen, Dingling Yao, Adeel Pervez, Dan Alistarh, Francesco Locatello

Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games Runyu Lu, Yuanheng Zhu, Dongbin Zhao

An Efficient Framework for Crediting Data Contributors of Diffusion Models MingYu Lu, Chris Lin, Chanwoo Kim, Su-In Lee

miniCTX: Neural Theorem Proving with (Long-)Contexts Jiewen Hu, Thomas Zhu, Sean Welleck

Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning Charlie Snell, Jaehoon Lee, Kelvin Xu, Aviral Kumar

gRNAde: Geometric Deep Learning for 3D RNA inverse design Chaitanya Joshi, Arian Jamasb, Ramon Viñas, Charles Harris, Simon Mathis, Alex Morehead, Rishabh Anand, Pietro Lio

Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression Amit Chakrabarti, Jeffrey Jiang, David Woodruff, Taisuke Yasuda

Chemistry-Inspired Diffusion with Non-Differentiable Guidance Yuchen Shen, Chenhao Zhang, Sijie Fu, Chenghui Zhou, Newell Washburn, Barnabás Póczos

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing Sagi Shaier, Francisco Pereira, Katharina Kann, Lawrence E Hunter, Matt Jones

AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs Xiaogeng Liu, Peiran Li, G. Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, Chaowei Xiao

Dynamic Assortment Selection and Pricing with Censored Preference Feedback Jung-hun Kim, Min-hwan Oh

Distance-Based Tree-Sliced Wasserstein Distance Viet-Hoang Tran, Minh-Khoi Nguyen-Nhat, Trang Pham, Thanh Chu, Tam Le, Tan Nguyen

MGDA Converges under Generalized Smoothness, Provably Qi Zhang, Peiyao Xiao, Shaofeng Zou, Kaiyi Ji

Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback Sanjiban Choudhury, Paloma Sodhi

Certifying Counterfactual Bias in LLMs Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh

Learning Successor Features with Distributed Hebbian Temporal Memory Evgenii Dzhivelikian, Petr Kuderov, Aleksandr Panov

Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Fusheng Liu, Qianxiao Li

$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong

Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye

Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks Nikolaos Tsilivis, Gal Vardi, Julia Kempe

DynFrs: An Efficient Framework for Machine Unlearning in Random Forest Shurong Wang, Zhuoyang Shen, Xinbao Qiao, Tongning Zhang, Meng Zhang

Multimodal Situational Safety Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Anderson Compalas, Dawn Song, Xin Wang

DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang

INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning Yuqian Fu, Yuanheng Zhu, Jian Zhao, Jiajun Chai, Dongbin Zhao

Scaling In-the-Wild Training for Diffusion-based Illumination Harmonization and Editing by Imposing Consistent Light Transport Lvmin Zhang, Anyi Rao, Maneesh Agrawala

Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl

Doubly Optimal Policy Evaluation for Reinforcement Learning Shuze Liu, Claire Chen, Shangtong Zhang

N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning Liping Wang, Xujia Li, Jingshu Peng, Yue Wang, Chen Zhang, Yan Zhou, Lei Chen

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains Vighnesh Subramaniam, Yilun Du, Joshua B Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch

Effective post-training embedding compression via temperature control in contrastive training georgiana dinu, Corey Barrett, Yi Xiang, Miguel Romero Calvo, Anna Currey, Xing Niu

Heavy-Tailed Diffusion Models Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael Pritchard, Arash Vahdat, Morteza Mardani

Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees Yingzhen Yang, Ping Li

Deep Signature: Characterization of Large-Scale Molecular Dynamics Tiexin Qin, Mengxu ZHU, Chunyang Li, Terry Lyons, Hong Yan, Haoliang Li

Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks Tianqu Zhuang, Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Shu-Tao Xia

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Hung Quang Nguyen, Hieu Nguyen, Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Thanh Tung Hoang, Khoa Doan

Do as We Do, Not as You Think: the Conformity of Large Language Models Zhiyuan Weng, Guikun Chen, Wenguan Wang

ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids Hannes Stärk, Bowen Jing, Tomas Geffner, Jason Yim, Tommi Jaakkola, Arash Vahdat, Karsten Kreis

CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Xu Bin, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang

Discrete Codebook World Models for Continuous Control Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Luck, Arno Solin, Joni Pajarinen

Beyond Random Masking: When Dropout meets Graph Convolutional Networks Yuankai Luo, Xiao-Ming Wu, Hao Zhu

Human Simulacra: Benchmarking the Personification of Large Language Models Qiujie Xie, Qiming Feng, Tianqi Zhang, Qingqiu Li, Linyi Yang, Yuejie Zhang, Rui Feng, Liang He, Shang Gao, Yue Zhang

Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Zeyu Gan, Yong Liu

Capturing the Temporal Dependence of Training Data Influence Jiachen (Tianhao) Wang, Dawn Song, James Y Zou, Prateek Mittal, Ruoxi Jia

Endowing Visual Reprogramming with Adversarial Robustness Shengjie Zhou, Xin Cheng, Haiyang Xu, Ming Yan, Tao Xiang, Feng Liu, Lei Feng

InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting Chenxin Li, Hengyu Liu, Zhiwen Fan, Wuyang Li, Yifan Liu, Panwang Pan, Yixuan Yuan

Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model Jincheng Zhong, XiangCheng Zhang, Jianmin Wang, Mingsheng Long

ADIFF: Explaining audio difference using natural language Soham Deshmukh, Shuo Han, Rita Singh, Bhiksha Raj

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, HE Zhang, Yiwei Hu, Milos Hasan, William Freeman, Kai Zhang, Fujun Luan

The Computational Complexity of Circuit Discovery for Inner Interpretability Federico Adolfi, Martina G. Vilas, Todd Wareham

Multi-Label Test-Time Adaptation with Bound Entropy Minimization Xiangyu Wu, Feng Yu, Yang Yang, Qing-Guo Chen, Jianfeng Lu

DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, XINYANG JIANG, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge

RFMamba: Frequency-Aware State Space Model for RF-Based Human-Centric Perception Rui Zhang, Ruixu Geng, Yadong Li, Ruiyuan Song, Hanqin Gong, Dongheng Zhang, Yang Hu, Yan Chen

LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes

CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi

Tailoring Mixup to Data for Calibration Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc

Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P Dickerson

Weak to Strong Generalization for Large Language Models with Multi-capabilities Yucheng Zhou, Jianbing Shen, Yu Cheng

MorphoDiff: Cellular Morphology Painting with Diffusion Models Zeinab Navidi, Jun Ma, Esteban Miglietta, Le Liu, Anne Carpenter, Beth Cimini, Benjamin Haibe-Kains, BO WANG

Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang

LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression Laurent Condat, Artavazd Maranjyan, Peter Richtarik

Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li

A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye HAO, Feng Wu

A Periodic Bayesian Flow for Material Generation Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu

Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Iglesias

Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks Zixuan Xiong, Guangwei Xu, wenkai zhang, Yuan Miao, Xuan Wu, LinHai, Ruijie Guo, Hai-Tao Zheng

Understanding Long Videos with Multimodal Language Models Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael Ryoo

Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar

Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection Yucheng Suo, Fan Ma, Kaixin Shen, Linchao Zhu, Yi Yang

Lambda-Skip Connections: the architectural component that prevents Rank Collapse Federico Arangath Joseph, Jerome Sieber, Melanie Zeilinger, Carmen Amo Alonso

Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen, Kenneth Marino, Rob Fergus

Scalable Bayesian Learning with posteriors Samuel Duffield, Kaelan Donatella, Johnathan Chiu, Phoebe Klett, Daniel Simpson

Progress or Regress? Self-Improvement Reversal in Post-training Ting Wu, Xuefeng Li, Pengfei Liu

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han

Investigating Pattern Neurons in Urban Time Series Forecasting Chengxin Wang, Yiran Zhao, shaofeng cai, Gary Tan

3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline Jingwei Xu, Yikai Wang, Yiqun Zhao, Yanwei Fu, Shenghua Gao

Commit0: Library Generation from Scratch Wenting Zhao, Nan Jiang, Celine Lee, Justin Chiu, Claire Cardie, Matthias Gallé, Alexander Rush

Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization Yuanchao Wang, Zhao-Rong Lai, Tianqi Zhong

Dimension Agnostic Neural Processes Hyungi Lee, Chaeyun Jang, Dong Bok Lee, Juho Lee

Boosting Latent Diffusion with Perceptual Objectives Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek

Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency Kai Gan, Bo Ye, Min-Ling Zhang, Tong Wei

Modeling Complex System Dynamics with Flow Matching Across Time and Conditions Martin Rohbeck, Edward De Brouwer, Charlotte Bunne, Jan-Christian Huetter, Anne Biton, Kelvin Chen, Aviv Regev, Romain Lopez

Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations Dong Un Kang, Hayeon Kim, Se Young Chun

Implicit Neural Surface Deformation with Explicit Velocity Fields Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers

Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness Eli Chien, Pan Li

DEPT: Decoupled Embeddings for Pre-training Language Models Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nic Lane

Wavelet Diffusion Neural Operator Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? Seth Aycock, David Stap, Di Wu, Christof Monz, Khalil Simaan

Data Shapley in One Training Run Jiachen (Tianhao) Wang, Prateek Mittal, Dawn Song, Ruoxi Jia

IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis Shitong Shao, zikai zhou, Lichen Bai, Haoyi Xiong, Zeke Xie

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye

Optimality of Matrix Mechanism on $\ell_p^p$-metric Zongrui Zou, Jingcheng Liu, Jalaj Upadhyay

Generative Verifiers: Reward Modeling as Next-Token Prediction Lunjun Zhang, Arian Hosseini, Hritik Bansal, Seyed Mehran Kazemi, Aviral Kumar, Rishabh Agarwal

TimeInf: Time Series Data Contribution via Influence Functions Yizi Zhang, Jingyan Shen, Xiaoxue Xiong, Yongchan Kwon

QERA: an Analytical Framework for Quantization Error Reconstruction Cheng Zhang, Jeffrey T. H. Wong, Can Xiao, George Constantinides, Yiren Zhao

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Qinsi Wang, Jinghan Ke, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu

CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness Khyathi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi

Rethinking Shapley Value for Negative Interactions in Non-convex Games Wonjoon Chang, Myeongjin Lee, Jaesik Choi

RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection Jingtong Yue, Zhiwei Lin, Xin Lin, Xiaoyu Zhou, Xiangtai Li, Lu Qi, Yongtao Wang, Ming-Hsuan Yang

Minimalistic Predictions for Online Class Constraint Scheduling Dorian Guyot, Alexandra Lassota

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators Rasoul Shafipour, David Harrison, Maxwell Horton, JEFFREY MARKER, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo

Bayesian Regularization of Latent Representation Chukwudi Paul Obite, Zhi Chang, Keyan Wu, Shiwei Lan

UniGEM: A Unified Approach to Generation and Property Prediction for Molecules Shikun Feng, Yuyan Ni, Lu yan, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan

Representational Similarity via Interpretable Visual Concepts Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona

Diffusion Models as Cartoonists: The Curious Case of High Density Regions Rafał Karczewski, Markus Heinonen, Vikas Garg

Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer

Measuring memorization in RLHF for code completion Jamie Hayes, I Shumailov, Billy Porter, Aneesh Pappu

Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski, Jakub Grzywaczewski, Bartłomiej Sadlej, Matthew Tivnan, Przemyslaw Biecek

Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models Hao-Chien Hsueh, Wen-Hsiao Peng, Ching-Chun Huang

A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis Xiaoyu Cui, Weixing Chen, Jiandong Su

Modality-Specialized Synergizers for Interleaved Vision-Language Generalists Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang

Revisiting In-context Learning Inference Circuit in Large Language Models Hakaze Cho, Mariko Kato, Yoshihiro Sakai, Naoya Inoue

Edge-aware Image Smoothing with Relative Wavelet Domain Representation Huiqing Qi, Xiaoliu Luo, Tingting Li, Fang Li

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas

Interactive Adjustment for Human Trajectory Prediction with Individual Feedback Jianhua Sun, Yuxuan Li, Liang Chai, Cewu Lu

Minimax Optimal Reinforcement Learning with Quasi-Optimism Harin Lee, Min-hwan Oh

LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models Hantao Zhang, Yuhe Liu, Jiancheng Yang, Shouhong Wan, Xinyuan Wang, Wei Peng, Pascal Fua

SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation Teng Hu, Jiangning Zhang, Ran Yi, Hongrui Huang, Yabiao Wang, Lizhuang Ma

Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations Shaocong Ma, Heng Huang

Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks Wangjia Yu, Xiaomeng Fu, Qiao Li, Jizhong Han, Xiaodan Zhang

Animate-X: Universal Character Image Animation with Enhanced Motion Representation Shuai Tan, Biao Gong, Xiang Wang, Shiwei Zhang, DanDan Zheng, Ruobing Zheng, Kecheng Zheng, Jingdong Chen, Ming Yang

Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage Zhi Gao, Bofei Zhang, Pengxiang Li, Xiaojian Ma, Tao Yuan, Yue Fan, Yuwei Wu, Yunde Jia, Song-Chun Zhu, Qing Li

Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin, Bing Li, Grace Li Zhang

Support is All You Need for Certified VAE Training Changming Xu, Debangshu Banerjee, Deepak Vasisht, Gagandeep Singh

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim

ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning Ruchika Chavhan, Da Li, Timothy Hospedales

Score-based free-form architectures for high-dimensional Fokker-Planck equations Feng Liu, Faguo Wu, Xiao Zhang

Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond Giuseppe Serra, Florian Buettner

HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics Fan, Sarah Martinson, Erik Wang, Kaylie Hausknecht, Jonah Brenner, Danxian Liu, Nianli Peng, Corey Wang, Michael Brenner

Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models Etrit Haxholli, Yeti Z. Gurbuz, Oğul Can, Eli Waxman

ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding Indraneil Paul, Haoyi Yang, Goran Glavaš, Kristian Kersting, Iryna Gurevych

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Pei Chu, Yi Wang, Min Dou, Changyao Tian, Xizhou Zhu, Lewei Lu, Yushi Chen, Junjun He, Tong Lu, Yali Wang, Limin Wang, Dahua Lin, Yu Qiao, Botian Shi, Conghui He, Jifeng Dai

Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision Yaowen Ye, Cassidy Laidlaw, Jacob Steinhardt

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen

PWM: Policy Learning with Multi-Task World Models Ignat Georgiev, Varun Giridhar, Nick Hansen, Animesh Garg

Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning Haque Ishfaq, Guangyuan Wang, Sami Islam, Doina Precup

GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models Zewei Zhang, Huan Liu, Jun Chen, Xiangyu Xu

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation Jun Hyeong Kim, Seonghwan Kim, Seokhyun Moon, Hyeongwoo Kim, Jeheon Woo, Woo Youn Kim

Transformer-Squared: Self-adaptive LLMs Qi Sun, Edoardo Cetin, Yujin Tang

Text-to-Image Rectified Flow as Plug-and-Play Priors Xiaofeng Yang, Cheng Chen, xulei yang, Fayao Liu, Guosheng Lin

Systems with Switching Causal Relations: A Meta-Causal Perspective Moritz Willig, Tim Tobiasch, Florian Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting

Efficient Causal Decision Making with One-sided Feedback Jianing Chu, Shu Yang, Wenbin Lu, PULAK GHOSH

Coreset Selection via Reducible Loss in Continual Learning Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi, Dong Gong

DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL Mathias Jackermeier, Alessandro Abate

Generative Flows on Synthetic Pathway for Drug Design Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim

Exploring the Design Space of Visual Context Representation in Video MLLMs Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu, Han Huang, Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen

Periodic Materials Generation using Text-Guided Joint Diffusion Model KISHALAY DAS, Subhojyoti Khastagir, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu, Stefano Ermon

SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels Xiangyu Dong, Xingyi Zhang, Lei Chen, Mingxuan Yuan, Sibo WANG

A Meta-Learning Approach to Bayesian Causal Discovery Anish Dhir, Matthew Ashman, James Requeima, Mark van der Wilk

Layerwise Recurrent Router for Mixture-of-Experts Zihan Qiu, Zeyu Huang, Shuang Cheng, Yizhi Zhou, zili wang, Ivan Titov, Jie Fu

Personality Alignment of Large Language Models Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang

Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface Wenyue Hua, Mengting Wan, JAGANNATH VADREVU, Ryan Nadel, Yongfeng Zhang, Chi Wang

Charting the Design Space of Neural Graph Representations for Subgraph Matching Vaibhav Raj, Indradyumna Roy, Ashwin Ramachandran, Soumen Chakrabarti, Abir De

Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches Itsumi Saito, Haruto Yoshida, Keisuke Sakaguchi

Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie Su, Li Shen

Reconstructive Visual Instruction Tuning Haochen Wang, Anlin Zheng, Yucheng Zhao, Tiancai Wang, Zheng Ge, Xiangyu Zhang, Zhaoxiang Zhang

Geometry of Lightning Self-Attention: Identifiability and Dimension Nathan Henry, Giovanni Luca Marchetti, Kathlén Kohn

CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun, Kede Ma, Ying Wei

Refining CLIP's Spatial Awareness: A Visual-Centric Perspective Congpei Qiu, Yanhao Wu, Wei Ke, Xiuxiu Bai, Tong Zhang

Quantized Spike-driven Transformer Xuerui Qiu, Malu Zhang, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang, Haizhou Li

Looped Transformers for Length Generalization Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook Lee

BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis Tiankuo Chu, Fudong Lin, Shubo Wang, Jason Jiang, Wiley Gong, Xu Yuan, Liyun Wang

Fast and Accurate Blind Flexible Docking Zizhuo Zhang, Lijun Wu, Kaiyuan Gao, Jiangchao Yao, Tao Qin, Bo Han

Random-Set Neural Networks Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin

Uni-Sign: Toward Unified Sign Language Understanding at Scale Zecheng Li, Wengang Zhou, Weichao Zhao, Kepeng Wu, Hezhen Hu, Houqiang Li

CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark Jian Wu, Linyi Yang, Zhen Wang, Manabu Okumura, Yue Zhang

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho

Distribution-Specific Agnostic Conditional Classification With Halfspaces Jizhou Huang, Brendan Juba

DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy, Kaushik Roy

Process Reward Model with Q-value Rankings Wendi Li, Yixuan Li

Mitigating Spurious Correlations in Zero-Shot Multimodal Models Shenyu Lu, Junyi Chai, Xiaoqian Wang

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Qingfu Zhang

SparsyFed: Sparse Adaptive Federated Learning Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nic Lane

Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu

Reasoning with Latent Thoughts: On the Power of Looped Transformers Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, Sanjiv Kumar, Sashank J. Reddi

Towards Automated Knowledge Integration From Human-Interpretable Representations Katarzyna Kobalczyk, Mihaela van der Schaar

Selective Unlearning via Representation Erasure Using Domain Adversarial Training Nazanin Sepahvand, Eleni Triantafillou, Hugo Larochelle, Doina Precup, Jim Clark, Dan Roy, Gintare Karolina Dziugaite

Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws Zeyuan Allen-Zhu, Yuanzhi Li

TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark Kush Jain, Gabriel Synnaeve, Baptiste Roziere

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models Haotian Wang, Haoxuan Li, Hao Zou, Haoang Chi, Long Lan, Wanrong Huang, Wenjing Yang

SELF-EVOLVED REWARD LEARNING FOR LLMS Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

Video Action Differencing James Burgess, Xiaohan Wang, Yuhui Zhang, Anita Rau, Alejandro Lozano, Lisa Dunlap, trevor darrell, Serena Yeung

Bridging the Gap Between f-divergences and Bayes Hilbert Spaces Linus Lach, Alexander Fottner, Yarema Okhrin

Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks Emanuel Sommer, Jakob Robnik, Giorgi Nozadze, Uros Seljak, David Rügamer

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training Renqiu Xia, mingsheng li, Hancheng Ye, Wenjie Wu, Hongbin Zhou, Jiakang Yuan, Tianshuo Peng, Xinyu Cai, Xiangchao Yan, Bin Wang, Conghui He, Botian Shi, Tao Chen, Junchi Yan, Bo Zhang

Subtask-Aware Visual Reward Learning from Segmented Demonstrations Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph Lim, Kimin Lee

Are Large Vision Language Models Good Game Players? Xinyu Wang, Bohan Zhuang, Qi Wu

Language-Assisted Feature Transformation for Anomaly Detection EungGu Yun, Heonjin Ha, Yeongwoo Nam, Bryan Lee

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant Honavar

Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency Jianwen Jiang, Chao Liang, Jiaqi Yang, Gaojie Lin, Tianyun Zhong, Yanbo Zheng

Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression Sha Guo, Jing Chen, Zixuan Hu, Zhuo Chen, Wenhan Yang, Yu Lin, Xing Jiang, LINGYU DUAN

ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks Arth Shukla, Stone Tao, Hao Su

Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark Haining Yu, Yizhou Sun

Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong

Shh, don't say that! Domain Certification in LLMs Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi

SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting Hui Chen, Viet Luong, Lopamudra Mukherjee, Vikas Singh

LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning Minyoung Kim, Timothy Hospedales

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park

Wasserstein-Regularized Conformal Prediction under General Distribution Shift Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie

Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization guangtao lyu, Chenghao Xu, Jiexi Yan, Muli Yang, Cheng Deng

Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL Lin Long, Xijun Gu, Xinjie Sun, Wentao Ye, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao

SyllableLM: Learning Coarse Semantic Units for Speech Language Models Alan Baade, Puyuan Peng, David Harwath

Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers RUNJIA LI, Qiwei Di, Quanquan Gu

Strong Model Collapse Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe

Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation Sua Lee, Kyubum Shin, Jung Ho Park

DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory Yutong Wang, Jiali Zeng, Xuebo Liu, Derek Wong, Fandong Meng, Jie Zhou, Min Zhang

Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research Michał Bortkiewicz, Władysław Pałucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Łukasz Kuciński, Benjamin Eysenbach

PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment Daiwei Chen, Yi Chen, Aniket Rege, Zhi Wang, Ramya Vinayak

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji

Curriculum-aware Training for Discriminating Molecular Property Prediction Models Hansi Yang, Quanming Yao, James Kwok

Multi-Label Node Classification with Label Influence Propagation Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He

Analytic DAG Constraints for Differentiable DAG Learning Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton Hengel, Javen Qinfeng Shi

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin

Generative Classifiers Avoid Shortcut Solutions Alexander Li, Ananya Kumar, Deepak Pathak

Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods Daniil Vankov, Anton Rodomanov, Angelia Nedich, Lalitha Sankar, Sebastian Stich

The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG Francesco Carzaniga, Gary Hoppeler, Michael Hersche, Kaspar Schindler, Abbas Rahimi

Transformers Struggle to Learn to Search Abulhair Saparov, Srushti Ajay Pawar, Shreyas Pimpalgaonkar, Nitish Joshi, Richard Yuanzhe Pang, Vishakh Padmakumar, Seyed Mehran Kazemi, Najoung Kim, He He

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan Reddy

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings Di Wu, Siyuan Li, Chen Feng, Lu Cao, Yue Zhang, Jie Yang, Mohamad Sawan

SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

The adaptive complexity of parallelized log-concave sampling Huanjian Zhou, Baoxiang Wang, Masashi Sugiyama

Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery Amin Soleimani Abyaneh, Mahrokh Boroujeni, Hsiu-Chin Lin, Giancarlo Ferrari-Trecate

Leave-One-Out Stable Conformal Prediction Kiljae Lee, Yuan Zhang

Adversarial Training for Defense Against Label Poisoning Attacks Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach

Equivariant Neural Functional Networks for Transformers Viet-Hoang Tran, Thieu Vo, An Nguyen, Tho-Huu Tran, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Nguyen

InstantPortrait: One-Step Portrait Editing via Diffusion Multi-Objective Distillation Zhixin Lai, Keqiang Sun, Fu-Yun Wang, Dhritiman Sagar, Erli Ding

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen

CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction Yunfei Teng, Yuxuan Ren, Kai Chen, Xi Chen, Zhaoming Chen, Qiwei Ye

A Generic Framework for Conformal Fairness Aditya Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, srinivasan parthasarathy

Taming Overconfidence in LLMs: Reward Calibration in RLHF Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang

Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Fries, Christopher Re, Sanmi Koyejo, Nigam Shah

RGB-Event ISP: The Dataset and Benchmark Yunfan LU, Yanlin Qian, Ziyang Rao, Junren Xiao, Liming Chen, Hui Xiong

Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment Yizhi Song, Liu He, Zhifei Zhang, Soo Ye Kim, HE Zhang, Wei Xiong, Zhe Lin, Brian Price, Scott Cohen, Jianming Zhang, Daniel Aliaga

JPEG Inspired Deep Learning Ahmed Hussien Salamah, Kaixiang Zheng, Yiwen Liu, EN-HUI YANG

Algorithmic Stability Based Generalization Bounds for Adversarial Training Runzhi Tian, Yongyi Mao

RazorAttention: Efficient KV Cache Compression Through Retrieval Heads Hanlin Tang, Yang Lin, Jing Lin, Qingsen Han, Danning Ke, Shikuan Hong, Yiwu Yao, Gongyi Wang

ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z Li

Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster Patrick Schnell, Luca Guastoni, Nils Thuerey

AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution Fengyuan Liu, Nikhil Kandpal, Colin Raffel

Deep Linear Probe Generators for Weight Space Learning Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen

A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations Naveen Gupta, Medha Sawhney, Arka Daw, Youzuo Lin, Anuj Karpatne

cryoSPHERE: Single-Particle HEterogeneous REconstruction from cryo EM Gabriel Claude Jean Ducrocq, Lukas Grunewald, Sebastian Westenhoff, Fredrik Lindsten

Bundle Neural Network for message diffusion on graphs Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael Bronstein

Point-based Instance Completion with Scene Constraints Wesley Khademi, Li Fuxin

AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher Manning

Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer, Tom Wollschläger, Stephan Günnemann

MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory Junyeong Park, Junmo Cho, Sungjin Ahn

Self-Updatable Large Language Models by Integrating Context into Model Parameters Yu Wang, Xinshuang Liu, Xiusi Chen, Sean OBrien, Junda Wu, Julian McAuley

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang, Jiawei LI, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang

What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis Weronika Ormaniec, Felix Dangel, Sidak Pal Singh

SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks Yijie Guo, Bingjie Tang, Iretiayo Akinola, Dieter Fox, Abhishek Gupta, Yashraj Narang

Risk-Sensitive Variational Actor-Critic: A Model-Based Approach Alonso Granados, Mohammadreza Ebrahimi, Jason Pacheco

Forking Paths in Neural Text Generation Eric Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer Ullman

Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference Ke Yi, Zengke Liu, jianwei zhang, Chengyuan Li, Tong Zhang, Junyang Lin, Jingren Zhou

Beyond single neurons: population response geometry in digital twins of mouse visual cortex Dario Liscai, Emanuele Luconi, Alessandro Marin Vargas, Alessandro Sanzeni

Semi-Parametric Retrieval via Binary Bag-of-Tokens Index Jiawei Zhou, Li Dong, Furu Wei, Lei Chen

TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification BO HU, Tat-Jen Cham

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Moritz Reuss, Jyothish Pari, Pulkit Agrawal, Rudolf Lioutikov

How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions Tal Herman, Guy Rothblum

Perturbation-Restrained Sequential Model Editing Jun-Yu Ma, Hong Wang, Hao-Xiang Xu, Zhen-Hua Ling, Jia-Chen Gu

Learning the Complexity of Weakly Noisy Quantum States Yusen Wu, Bujiao Wu, Yanqi Song, Xiao Yuan, Jingbo Wang

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng

Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy, Wen Sun

RESfM: Robust Deep Equivariant Structure from Motion Fadi Khatib, Yoni Kasten, Dror Moran, Meirav Galun, Ronen Basri

Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms Parham Rezaei, Farzan Farnia, Cheuk Ting Li

Improving Pretraining Data Using Perplexity Correlations Tristan Thrush, Christopher Potts, Tatsunori Hashimoto

Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification Mehdi Naouar, Hanne Raum, Jens Rahnfeld, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit

Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control Hejia Chen, Haoxian Zhang, Shoulong Zhang, Xiaoqiang Liu, Sisi Zhuang, zhangyuan, Pengfei Wan, Di ZHANG, Shuai Li

VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation Kuo-Han Hung, Pang-Chi Lo, Jia-Fong Yeh, Han-Yuan Hsu, Yi-Ting Chen, Winston Hsu

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model Long Le, Jason Xie, William Liang, Hung-Ju Wang, Yue Yang, Yecheng Jason Ma, Kyle Vedder, Arjun Krishna, Dinesh Jayaraman, ERIC EATON

Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems Dan MacKinlay, Russell Tsuchida, Daniel Pagendam, Petra Kuhnert

FIG: Flow with Interpolant Guidance for Linear Inverse Problems Yici Yan, Yichi Zhang, XIANGMING MENG, Zhizhen Zhao

Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models Orion Weller, Ben Van Durme, Dawn Lawrie, Ashwin Paranjape, Yuhao Zhang, Jack Hessel

Open-Set Graph Anomaly Detection via Normal Structure Regularisation Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie

Targeted Attack Improves Protection against Unauthorized Diffusion Customization Boyang Zheng, Chumeng Liang, Xiaoyu Wu

A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation Huimin Zeng, Xiaojie Wang, Anoop Jain, Zhicheng Dou, Dong Wang

Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu

Doubly robust identification of treatment effects from multiple environments Piersilvio De Bartolomeis, Julia Kostin, Javier Abad, Yixin Wang, Fanny Yang

PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations Viraj Dhananjaya Bandara Jayasundara Jayasundara Mudiyanselage, Heng Zhao, Demetrio Labate, Vishal Patel

Brain-inspired $L_p$-Convolution benefits large kernels and aligns better with visual cortex Jea Kwon, Sungjun Lim, Kyungwoo Song, C. Lee

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Simon Dahan, Gabriel Bénédict, Logan Williams, Yourong Guo, Daniel Rueckert, Robert Leech, Emma Robinson

Accelerating Neural ODEs: A Variational Formulation-based Approach Hongjue Zhao, Yuchen Wang, Hairong Qi, Zijie Huang, Han Zhao, Lui Sha, Huajie Shao

Energy-Weighted Flow Matching for Offline Reinforcement Learning Shiyuan Zhang, Weitong Zhang, Quanquan Gu

Harnessing Webpage UIs for Text-Rich Visual Understanding Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue

Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval Yue Wu, Zhaobo Qi, Yiling Wu, Junshu Sun, Yaowei Wang, Shuhui Wang

MaestroMotif: Skill Design from Artificial Intelligence Feedback Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro

Tractable Multi-Agent Reinforcement Learning through Behavioral Economics Eric Mazumdar, Kishan Panaganti, Laixi Shi

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alex Dimakis, Jonathan Tamir

A Transfer Attack to Image Watermarks Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Gong

How to Evaluate Reward Models for RLHF Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E Gonzalez, Ion Stoica

Learning Color Equivariant Representations Yulong Yang, Felix O'Mahony, Christine Allen-Blanchette

Data-centric Prediction Explanation via Kernelized Stein Discrepancy Mahtab Sarvmaili, Hassan Sajjad, Ga Wu

Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions Xiaoran Jiao, Weian Mao, Wengong Jin, Peiyuan Yang, Hao Chen, Chunhua Shen

LongVILA: Scaling Long-Context Visual Language Models for Long Videos Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Jim Fan, Yuke Zhu, Yao Lu, Song Han

Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning Jiuqi Wang, Ethan Blaser, Hadi Daneshmand, Shangtong Zhang

BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge Terry Tong, Fei Wang, Zhe Zhao, Muhao Chen

An Effective Manifold-based Optimization Method for Distributionally Robust Classification Jiawei Huang, Hu Ding

Learning Graph Invariance by Harnessing Spuriosity Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen

Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long

Collab: Controlled Decoding using Mixture of Agents for LLM Alignment Souradip Chakraborty, Sujay Bhatt, Udari Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh

An Online Learning Theory of Trading-Volume Maximization Tommaso Cesari, Roberto Colomboni

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting Zilong (Ryan) Wang, Zifeng Wang, Long Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

COME: Test-time Adaption by Conservatively Minimizing Entropy Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang

Causal Representation Learning from Multimodal Biomedical Observations Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P Xing, Kun Zhang

Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits Yuwei Luo, Mohsen Bayati

Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks Xianyang Zhang, Huijuan Zhou

Beware of Calibration Data for Pruning Large Language Models Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang

Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma

Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen

ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde, Tassilo Wald, Tobias Schumacher, Klaus Maier-Hein, Markus Strohmaier, Florian Lemmerich

Nesterov acceleration in benignly non-convex landscapes Kanan Gupta, Stephan Wojtowytsch

Robust Feature Learning for Multi-Index Models in High Dimensions Alireza Mousavi-Hosseini, Adel Javanmard, Murat A Erdogdu

Multi-Task Dense Predictions via Unleashing the Power of Diffusion Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li

Language Model Alignment in Multilingual Trolley Problems Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf

MCNC: Manifold-Constrained Reparameterization for Neural Compression Chayne Thrash, Reed Andreas, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Hamed Pirsiavash, Soheil Kolouri

Circuit Transformer: A Transformer That Preserves Logical Equivalence Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang

Differentiable Rule Induction from Raw Sequence Inputs Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang, Yang Feng

Advantage-Guided Distillation for Preference Alignment in Small Language Models Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Cheng, Jun Huan, Haoyu Wang, Jing Gao

MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval Yanzhe Chen, Zhiwen Yang, Jinglin Xu, Yuxin Peng

Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen, Shujian Zhang, Mingyuan Zhou

BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping Aly Lidayan, Michael Dennis, Stuart Russell

Improving Language Model Distillation through Hidden State Matching Sayantan Dasgupta, Trevor Cohn

OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes Sepehr Dehdashtian, Gautam Sreekumar, Vishnu Boddeti

Training-free LLM-generated Text Detection by Mining Token Probability Sequences Yihuai Xu, Yongwei Wang, YIFEI BI, Huangsen Cao, Zhouhan Lin, Yu Zhao, Fei Wu

Global Convergence in Neural ODEs: Impact of Activation Functions Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao

Restructuring Vector Quantization with the Rotation Trick Christopher Fifty, Ronald Junkins, Dennis Duan, Aniketh Iyengar, Jerry Liu, Ehsan Amid, Sebastian Thrun, Christopher Re

Spreading Out-of-Distribution Detection on Graphs Daeho Um, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung

REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS Yonatan Sverdlov, Ido Springer, Nadav Dym

OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data Shubham Toshniwal, Wei Du, Ivan Moshkov, Branislav Kisacanin, Alexan Ayrapetyan, Igor Gitman

Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang

GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky

Monitoring Latent World States in Language Models with Propositional Probes Jiahai Feng, Stuart Russell, Jacob Steinhardt

Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators Wenhan Gao, Ruichen Xu, Yuefan Deng, Yi Liu

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation Kim Yong Tan, YUEMING LYU, Ivor Tsang, Yew-Soon Ong

Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Tran, Seyed Mehran Kazemi

Learning High-Degree Parities: The Crucial Role of the Initialization Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła, Donald Kougang Yombi

Agent-Oriented Planning in Multi-Agent Systems Ao LI, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li

CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation Yifeng Xu, Zhenliang He, Shiguang Shan, Xilin CHEN

Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels Daning Huang, Hanyang He, John Harlim, Yan Li

AdaGrad under Anisotropic Smoothness Yuxing Liu, Rui Pan, Tong Zhang

Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories Vasiliki Tassopoulou, Haochang Shou, Christos Davatzikos

Preference Optimization for Reasoning with Pseudo Feedback Fangkai Jiao, Geyang Guo, Xingxing Zhang, Nancy F Chen, Shafiq Joty, Furu Wei

Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images Sichen Zhu, Yuchen Zhu, Molei Tao, Peng Qiu

When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao

Transformer Encoder Satisfiability: Complexity and Impact on Formal Reasoning Marco Sälzer, Eric Alsmann, Martin Lange

Grounding Multimodal Large Language Model in GUI World Weixian Lei, Difei Gao, Mike Zheng Shou

Logical Consistency of Large Language Models in Fact-Checking Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan

Conformal Prediction Sets Can Cause Disparate Impact Jesse Cresswell, Bhargava Kumar, Yi Sui, Mouloud Belbahri

HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger

Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources Vibhhu Sharma, Bryan Wilder

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z Li

Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Zhenyi Zhang, Tiejun Li, Peijie Zhou

Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi, Jie Wang, Zhiwei Zhuang, Xize Liang, Bin Li, Feng Wu

Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space Zhiliang Chen, Xinyuan Niu, Chuan Sheng Foo, Bryan Kian Hsiang Low

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa

Partial Gromov-Wasserstein Metric Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli, Hengrong Du, Xinran Liu, Soheil Kolouri

Variational Bayesian Pseudo-Coreset Hyungi Lee, Seungyoo Lee, Juho Lee

Your Weak LLM is Secretly a Strong Teacher for Alignment Leitian Tao, Yixuan Li

Long-Sequence Recommendation Models Need Decoupled Embeddings Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, QianLi, Xian Hu, Jie Jiang, Mingsheng Long

MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder Sehyeok Kang, Yongsik Lee, Gahee Kim, Song Chong, Se-Young Yun

Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency Qixin ZHANG, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao

Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives Zeliang Zhang, Susan Liang, Daiki Shimada, Chenliang Xu

Decoupling Angles and Strength in Low-rank Adaptation Massimo Bini, Leander Girrbach, Zeynep Akata

Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach Jason Piquenot, Maxime Berar, Romain Raveaux, Pierre Héroux, Jean-Yves RAMEL, Sébastien Adam

E(n) Equivariant Topological Neural Networks Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici

Sufficient Context: A New Lens on Retrieval Augmented Generation Systems Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian

CAMEx: Curvature-aware Merging of Experts Dung Viet Nguyen, Minh Nguyen, Luc Nguyen, Rachel Teo, Tan Nguyen, Duy Linh Tran

Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han

Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning HyunKyu Lee, Sung Whan Yoon

Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning Hyungkyu Kang, Min-hwan Oh

GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement Peiye Zhuang, Songfang Han, Chaoyang Wang, Aliaksandr Siarohin, Jiaxu Zou, Michael Vasilkovsky, Vladislav Shakhrai, Sergei Korolev, Sergey Tulyakov, Hsin-Ying Lee

From Tokens to Lattices: Emergent Lattice Structures in Language Models Bo Xiong, Steffen Staab

Aligning Language Models with Demonstrated Feedback Omar Shaikh, Michelle Lam, Joey Hejna, Yijia Shao, Hyundong Cho, Michael Bernstein, Diyi Yang

Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling Yuxin Dai, Qi Wang, Jingsen Zhu, xi db, Yuchi Huo, Chen Qian, Ying He

Should VLMs be Pre-trained with Image Data? Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre, Kushal Arora, Igor Vasiljevic, Benjamin Burchfiel, Shuran Song, Russ Tedrake, Thomas Kollar, Ludwig Schmidt, Achal Dave

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh

SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation Pengfei Chen, Lingxi Xie, xinyue huo, Xuehui Yu, XIAOPENG ZHANG, Yingfei Sun, Zhenjun Han, Qi Tian

Extending Mercer's expansion to indefinite and asymmetric kernels Sungwoo Jeong, Alex Townsend

XAIguiFormer: explainable artificial intelligence guided transformer for brain disorder identification Hanning Guo, Farah Abdellatif, Yu Fu, N. Shah, Abigail Morrison, Jürgen Dammers

SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang, Maryam Mehri Dehnavi

Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning Xinran Li, Xiaolu Wang, Chenjia Bai, Jun Zhang

Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten, Cecilia Casolo, Emilio Ferrucci, Søren Mogensen, Cristopher Salvi, Niki Kilbertus

Interpreting Language Reward Models via Contrastive Explanations Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lecue, Manuela Veloso

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks Rui Hu, Yifan Zhang, Zhuoran Li, Longbo Huang

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solver Zhenting Qi, Mingyuan MA, Jiahang Xu, Li Lyna Zhang, Fan Yang, Mao Yang

Visually Consistent Hierarchical Image Classification Seulki Park, Youren Zhang, Stella Yu, Sara Beery, Jonathan Huang

OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces zehan wang, Ziang Zhang, Minjie Hong, Hang Zhang, Luping Liu, Rongjie Huang, Xize Cheng, Shengpeng Ji, Tao Jin, Hengshuang Zhao, Zhou Zhao

Self-Normalized Resets for Plasticity in Continual Learning Vivek Farias, Adam Jozefiak

Universal generalization guarantees for Wasserstein distributionally robust models Tam Le, Jerome Malick

Revealing and Mitigating Over-Attention in Knowledge Editing Pinzheng Wang, Zecheng Tang, Keyan Zhou, Juntao Li, Qiaoming Zhu, Min Zhang

Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan

Combining Induction and Transduction for Abstract Reasoning Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, Kevin Ellis

Stiefel Flow Matching for Moment-Constrained Structure Elucidation Austin H Cheng, Alston Lo, Kin Long Kelvin Lee, Santiago Miret, Alan Aspuru-Guzik

Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings Hossein Mirzaei Sadeghlou, Mackenzie Mathis

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun

IDInit: A Universal and Stable Initialization Method for Neural Network Training Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu

Tell me about yourself: LLMs are aware of their learned behaviors Jan Betley, Xuchan Bao, Martín Soto, Anna Sztyber-Betley, James Chua, Owain Evans

HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction Weihuang Wen, Tianshu Yu

Adaptive Energy Alignment for Accelerating Test-Time Adaptation Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, JungMoon Lee, Younghyun Park, Dong-Jun Han, Jaekyun Moon

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning Caleb Chuck, Fan Feng, Carl Qi, Chang Shi, Siddhant Agarwal, Amy Zhang, Scott Niekum

On the Modeling Capabilities of Large Language Models for Sequential Decision Making Martin Klissarov, R Devon Hjelm, Alexander Toshev, Bogdan Mazoure

Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models Cong Lu, Shengran Hu, Jeff Clune

MADGEN: Mass-Spec attends to De Novo Molecular generation Yinkai Wang, Xiaohui Chen, Liping Liu, Soha Hassoun

SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning Minjun Kim, Jongjin Kim, U Kang

Automated Design of Agentic Systems Shengran Hu, Cong Lu, Jeff Clune

NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics David Robinson, Marius Miron, Masato Hagiwara, Olivier Pietquin

Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping Yue Yang, Shuibo Zhang, Kaipeng Zhang, Yi Bin, Yu Wang, Ping Luo, Wenqi Shao

SONICS: Synthetic Or Not - Identifying Counterfeit Songs Awsaf Rahman, Zaber Ibn Abdul Hakim, Najibul Haque Sarker, Bishmoy Paul, Anowarul Fattah

Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Bing Cao, Quanhao Lu, Jiekang Feng, Qilong Wang, Pengfei Zhu, Qinghua Hu

NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval Sepanta Zeighami, Zac Wellmer, Aditya Parameswaran

Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling Yifan Yang, Gang Chen, Hui Ma, Cong Zhang, Zhiguang Cao, Mengjie Zhang

Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics Alberto Pepe, Mattia Montanari, Joan Lasenby

Adversarial Machine Unlearning Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu

Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations? Letitia Parcalabescu, Anette Frank

EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment Yifei Xing, Xiangyuan Lan, Ruiping Wang, Dongmei Jiang, Wenjun Huang, Zheng Qingfang, Yaowei Wang

Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta

Variance-Reducing Couplings for Random Features Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E Turner, Adrian Weller

Durable Quantization Conditioned Misalignment Attack on Large Language Models Peiran Dong, Haowei Li, Song Guo

The Directionality of Optimization Trajectories in Neural Networks Sidak Pal Singh, Bobby He, Thomas Hofmann, Bernhard Schölkopf

Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization Tianxu Li, Kun Zhu

Language Models Need Inductive Biases to Count Inductively Yingshan Chang, Yonatan Bisk

Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh Murthy, Samuel Gershman

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model Chongkai Gao, Haozhuo Zhang, Zhixuan Xu, Cai Zhehao, Lin Shao

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Tuan Truong, Rithwik Sudharsan, Yibo Yang, Peter Xiangyuan, Ruihan Yang, Stephan Mandt, Joshua Bloom

Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning Jingyang Li, Jiachun Pan, Vincent Tan, Kim-chuan Toh, Pan Zhou

Sylber: Syllabic Embedding Representation of Speech from Raw Audio Cheol Jun Cho, Nicholas Lee, Akshat Gupta, Dhruv Agarwal, Ethan Chen, Alan Black, Gopala Anumanchipalli

Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin, John Cooper, Frederic Sala

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su

Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs Shane Bergsma, Nolan Dey, Gurpreet Gosal, Gavia Gray, Daria Soboleva, Joel Hestness

Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words Gouki Gouki, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo

Density estimation with LLMs: a geometric investigation of in-context learning trajectories Toni Liu, Nicolas Boulle, Raphaël Sarfati, Christopher Earls

Recovering Manifold Structure Using Ollivier Ricci Curvature Tristan L. Saidi, Abigail Hickok, Andrew J Blumberg

RandLoRA: Full rank parameter-efficient fine-tuning of large models Paul Albert, Frederic Zhang, Hemanth Saratchandran, Cristian Rodriguez-Opazo, Anton Hengel, Ehsan Abbasnejad

Monet: Mixture of Monosemantic Experts for Transformers Jungwoo Park, Young Jin Ahn, Kee-Eung Kim, Jaewoo Kang

Oscillatory State-Space Models T. Konstantin Rusch, Daniela Rus

Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikos Dimitriadis, Pascal Frossard, François Fleuret

THE ROBUSTNESS OF DIFFERENTIABLE CAUSAL DISCOVERY IN MISSPECIFIED SCENARIOS Huiyang Yi, Yanyan He, Duxin Chen, Mingyu Kang, He Wang, Wenwu Yu

SFS: Smarter Code Space Search improves LLM Inference Scaling Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng

Federated $Q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost Zhong Zheng, Haochen Zhang, Lingzhou Xue

Denoising with a Joint-Embedding Predictive Architecture Chen Dengsheng, Jie Hu, Xiaoming Wei, Enhua Wu

ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning Nilo Schwencke, Cyril Furtlehner

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Xinsong Feng, Zihan Yu, Yanhai Xiong, Haipeng Chen

RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction Tanqiu Jiang, Zian Wang, Jiacheng Liang, Changjiang Li, Yuhui Wang, Ting Wang

SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes Tony Alex, Sara Atito, Armin Mustafa, Muhammad Awais, Philip Jackson

CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li

A Theoretical Framework for Partially-Observed Reward States in RLHF Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari

InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly James Enouen, Yan Liu

DyCAST: Learning Dynamic Causal Structure from Time Series Yue Cheng, Bochen Lyu, Weiwei Xing, Zhanxing Zhu

Pacmann: Efficient Private Approximate Nearest Neighbor Search Mingxun Zhou, Elaine Shi, Giulia Fanti

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun

ECHOPulse: ECG Controlled Echocardio-gram Video Generation Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, Xiang Li

ADAM: An Embodied Causal Agent in Open-World Environments Shu Yu, Chaochao Lu

Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen

Agent S: An Open Agentic Framework that Uses Computers Like a Human Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Wang

IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION Chuanyang Zheng

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu

GSE: Group-wise Sparse and Explainable Adversarial Attacks Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta

Self-Evolving Multi-Agent Collaboration Networks for Software Development Yue Hu, Yuzhu Cai, Yaxin Du, Xinyu Zhu, Xiangrui Liu, Zijie Yu, Yuchen Hou, Shuo Tang, Siheng Chen

Learning and aligning single-neuron invariance manifolds in visual cortex Mohammad Bashiri, Luca Baroni, Ján Antolík, Fabian Sinz

Towards Faster Decentralized Stochastic Optimization with Communication Compression Rustem Islamov, Yuan Gao, Sebastian Stich

PiCO: Peer Review in LLMs based on Consistency Optimization Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhenhui Liu, Yonghong Tian, Yibing Song, Yuan Li

Node Similarities under Random Projections: Limits and Pathological Cases Tvrtko Tadić, Cassiano O Becker, Jennifer Neville

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh

MetaOOD: Automatic Selection of OOD Detection Models Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao

A Large-scale Training Paradigm for Graph Generative Models Yu Wang, Ryan Rossi, Namyong Park, Huiyuan Chen, Nesreen Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr

AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements Adriana-Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi, Arsene Fansi Tchango, Bruno Rousseau, Kerrie Mengersen

Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains Razmik Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura, Takashi Matsubara

AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks Van Nguyen, Tingmin Wu, Xingliang YUAN, Marthie Grobler, Surya Nepal, Carsten Rudolph

Towards Effective Evaluations and Comparisons for LLM Unlearning Methods Qizhou Wang, Bo Han, Puning Yang, Jianing ZHU, Tongliang Liu, Masashi Sugiyama

Beyond Random Augmentations: Pretraining with Hard Views Fabio Ferreira, Ivo Rapant, Jörg Franke, Frank Hutter

Pyramidal Flow Matching for Efficient Video Generative Modeling Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong MU, Zhouchen Lin

UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP Wenzheng Pan, Hao Xiong, Jiale Ma, Wentao Zhao, Yang Li, Junchi Yan

NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Xiangkun Hu, Zheng Zhang, Qian Wang, Yue Zhang

No Need to Talk: Asynchronous Mixture of Language Models Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert

Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors Haiyu Wu, Jaskirat Singh, Sicong Tian, Liang Zheng, Kevin Bowyer

How Far Are We from True Unlearnability? Kai Ye, Liangcai Su, Chenxiong Qian

CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement Aming Wu, Cheng Deng

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang

DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control Kaifeng Zhao, Gen Li, Siyu Tang

SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget Zihao Wang, Bin CUI, Shaoduo Gan

Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models Jiyang Zheng, Jialiang Shen, Yu Yao, Min Wang, Yang Yang, Dadong Wang, Tongliang Liu

Bandit Learning in Matching Markets with Indifference Fang Kong, Jingqi Tang, Mingzhu Li, Pinyan Lu, John C.S. Lui, Shuai Li

Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables Joshua Wu, Hari Koneru, James Ravenel, Anshuman Sabath, James Roach, Shaun Lim, MICHAEL TADROSS, Alex Williams, Timothy W. Dunn

Atlas Gaussians Diffusion for 3D Generation Haitao Yang, Yuan Dong, Hanwen Jiang, Dejia Xu, Georgios Pavlakos, Qixing Huang

Progressive distillation induces an implicit curriculum Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Andrej Risteski, Surbhi Goel

Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models Can Demircan, Tankred Saanum, Akshay Jagadish, Marcel Binz, Eric Schulz

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang

Vision-LSTM: xLSTM as Generic Vision Backbone Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter

Forte : Finding Outliers with Representation Typicality Estimation Debargha Ganguly, Warren Morningstar, Andrew Yu, Vipin Chaudhary

Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning Wesley Suttle, Aamodh Suresh, Carlos Nieto-Granda

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks, Can Rager, Eric Michaud, Yonatan Belinkov, David Bau, Aaron Mueller

KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI Jaron Maene, Vincent Derkinderen, Pedro Zuidberg Dos Martires

Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems Jie Chen

Fully-inductive Node Classification on Arbitrary Graphs Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael Bronstein, Jian Tang

Large Language Models Often Say One Thing and Do Another Ruoxi Xu, Hongyu Lin, Xianpei Han, Jia Zheng, Weixiang Zhou, Le Sun, Yingfei Sun

CViT: Continuous Vision Transformer for Operator Learning Sifan Wang, Jacob Seidman, Shyam Sankaran, Hanwen Wang, George Pappas, Paris Perdikaris

HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal

On the Relation between Trainability and Dequantization of Variational Quantum Learning Models Elies Gil-Fuster, Casper Gyurik, Adrian Perez-Salinas, Vedran Dunjko

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang

PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection Qiuchen Wang, Zehui Chen, Chenhongyi Yang, Jiaming Liu, Zhenyu Li, Feng Zhao

Radar: Fast Long-Context Decoding for Any Transformer Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung

Spiking Vision Transformer with Saccadic Attention Shuai Wang, Malu Zhang, Dehao Zhang, Ammar Belatreche, Yichen Xiao, Yu Liang, Yimeng Shan, Qian Sun, Enqi Zhang, Yang Yang

SleepSMC: Ubiquitous Sleep Staging via Supervised Multimodal Coordination Shuo Ma, Yingwei Zhang, Yiqiang Chen, Hualei Wang, Yuan Jin, Wei Zhang, Ziyu Jia

Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang

Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images Aiqing Zhu, Yuting Pan, Qianxiao Li

AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models Kim Sung-Bin, Oh Hyun-Bin, Lee Jung-Mok, Arda Senocak, Joon Son Chung, Tae-Hyun Oh

Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao

Zero-shot Imputation with Foundation Inference Models for Dynamical Systems Patrick Seifner, Kostadin Cvejoski, Antonia Körner, Ramses Sanchez

SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin

IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking Shubham Dipak Ugare, Rohan Gumaste, Tarun Suresh, Gagandeep Singh, Sasa Misailovic

3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu, Lijun Wu

Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information Yuke Zhu, Yue Zhang, Dongdong Liu, Chi Xie, Zihua Xiong, Bo Zheng, Sheng Guo

Sparse autoencoders reveal selective remapping of visual concepts during adaptation Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang, Yuanwei Liu, Yesai Wu, Yankai Lin, Zhiyuan Liu, Maosong Sun

FlowDec: A flow-based full-band general audio codec with high perceptual quality Simon Welker, Matthew Le, Ricky T. Q. Chen, Wei-Ning Hsu, Timo Gerkmann, Alexander Richard, Yi-Chiao Wu

DRL: Decomposed Representation Learning for Tabular Anomaly Detection Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang

Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir, Nadav Dym

Mixture of In-Context Prompters for Tabular PFNs Derek Xu, Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang

Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate Yexiang Liu, Jie Cao, Zekun Li, Ran He, Tieniu Tan

OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling Zhicheng YANG, Yiwei Wang, Yinya Huang, Zhijiang Guo, Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang

Diverse Preference Learning for Capabilities and Alignment Stewart Slocum, Asher Parker-Sartori, Dylan Hadfield-Menell

Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization Noam Razin, Sadhika Malladi, Adithya Bhaskar, Danqi Chen, Sanjeev Arora, Boris Hanin

Efficiently Parameterized Neural Metriplectic Systems Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Kong hansheng, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, QIANG FU, Yang Wei, Haobo Fu

LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li

Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators CHEN CHEN, Yuchen Hu, Siyin Wang, Helin Wang, Zhehuai Chen, Chao Zhang, Chao-Han Huck Yang, Ensiong Chng

Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang

Block Verification Accelerates Speculative Decoding Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Jae H Ro, Ahmad Beirami, Ananda Theertha Suresh

Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma, Ayush Bharti, Vikas Garg

Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu

Large (Vision) Language Models are Unsupervised In-Context Learners Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic

One for all and all for one: Efficient computation of partial Wasserstein distances on the line Laetitia Chapel, Romain Tavenard

Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models Andy K Zhang, Neil Perry, Riya Dulepet, Joey Ji, Celeste Menders, Justin Lin, Eliot Jones, Gashon Hussein, Samantha Liu, Donovan Jasper, Pura Peetathawatchai, Ari Glenn, Vikram Sivashankar, Daniel Zamoshchin, Leo Glikbarg, Derek Askaryar, Haoxiang Yang, Aolin Zhang, Rishi Alluri, Nathan Tran, Rinnara Sangpisit, Kenny Oseleononmen, Dan Boneh, Daniel Ho, Percy Liang

Discovering Influential Neuron Path in Vision Transformers Yifan Wang, Yifei Liu, Yingdong Shi, Changming Li, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren

Distribution-Free Data Uncertainty for Neural Network Regression Domokos M. Kelen, Ádám Jung, Péter Kersch, Andras Benczur

Global Convergence of Policy Gradient in Average Reward MDPs Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Y Levy, R. Srikant, Shie Mannor

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Haoran Xu, Shuozhe Li, Harshit Sikchi, Scott Niekum, Amy Zhang

ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Chenghao Liu, Sarthak Mittal, Nouha Dziri, Michael Bronstein, Pranam Chatterjee, Alexander Tong, Joey Bose

Transformer Block Coupling and its Correlation with Generalization in LLMs Murdock Aubry, Haoming Meng, Anton Sugolov, Vardan Papyan

Multilevel Generative Samplers for Investigating Critical Phenomena Ankur Singha, Elia Cellini, Kim A. Nicoli, Karl Jansen, Stefan Kühn, Shinichi Nakajima

Toward Generalizing Visual Brain Decoding to Unseen Subjects Xiangtao Kong, Kexin Huang, Ping Li, Lei Zhang

Efficient Active Imitation Learning with Random Network Distillation Emilien Biré, Anthony Kobanda, Ludovic Denoyer, Rémy Portelas

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui SHI, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua

Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs Sammy Khalife, Josué Tonelli-Cueto

ELICIT: LLM Augmentation Via External In-context Capability Futing Wang, Jianhao (Elliott) Yan, Yue Zhang, Tao Lin

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao

Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel, Nikola Popovic, Christian Vater, Otmar Hilliges, Luc Van Gool, Xi Wang

Exact Certification of (Graph) Neural Networks Against Label Poisoning Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar

FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang

Variational Best-of-N Alignment Afra Amini, Tim Vieira, Elliott Ash, Ryan Cotterell

Robust Root Cause Diagnosis using In-Distribution Interventions Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen

Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks Ouns El Harzli, Bernardo Grau

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models Didi Zhu, Yibing Song, tao shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models Peng Xia, Siwei Han, Shi Qiu, Yiyang Zhou, Zhaoyang Wang, Wenhao Zheng, Zhaorun Chen, Chenhang Cui, Mingyu Ding, Linjie Li, Lijuan Wang, Huaxiu Yao

PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park

Building Math Agents with Multi-Turn Iterative Preference Learning Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu

Long-time asymptotics of noisy SVGD outside the population limit Victor Priser, PASCAL BIANCHI, Adil Salim

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen

STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu

Feedback Favors the Generalization of Neural ODEs Jindou Jia, Zihan Yang, Meng Wang, Kexin Guo, Jianfei Yang, Xiang Yu, Lei Guo

Learning mirror maps in policy mirror descent Carlo Alfano, Sebastian Towers, Silvia Sapora, Chris Lu, Patrick Rebeschini

Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang, Jun Shen, Xiaomeng Li

Is In-Context Learning Sufficient for Instruction Following in LLMs? Hao Zhao, Maksym Andriushchenko, francesco croce, Nicolas Flammarion

Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models Ángela López-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal, Ioannis Arapakis

Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval Sheryl Hsu, Omar Khattab, Chelsea Finn, Archit Sharma

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi, Qiong Wu, Zhengyi Zhou, Yao Ma

GraphRouter: A Graph-based Router for LLM Selections Tao Feng, Yanzhen Shen, Jiaxuan You

From Promise to Practice: Realizing High-performance Decentralized Training Zesen Wang, Jiaojiao Zhang, Xuyang Wu, Mikael Johansson

UniDrive: Towards Universal Driving Perception Across Camera Configurations Ye Li, Wenzhao Zheng, Xiaonan Huang, Kurt Keutzer

Can Large Language Models Understand Symbolic Graphics Programs? Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Xiao, Katherine Collins, Joshua B Tenenbaum, Adrian Weller, Michael J Black, Bernhard Schölkopf

CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression Yu-Ting Zhan, Cheng-Yuan Ho, He-Bi Yang, Yi-Hsin Chen, Jui Chiu Chiang, Yu-Lun Liu, Wen-Hsiao Peng

Robust Conformal Prediction with a Single Binary Certificate Soroush H. Zargarbashi, Aleksandar Bojchevski

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation Haoyi Zhu, Honghui Yang, Yating Wang, Jiange Yang, Limin Wang, Tong He

Continuous Ensemble Weather Forecasting with Diffusion models Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Yusuf Roohani, Andrew Lee, Qian Huang, Jian Vora, Zachary Steinhart, Kexin Huang, Alexander Marson, Percy Liang, Jure Leskovec

Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data Florian Eddie Dorner, Vivian Nastl, Moritz Hardt

The Hidden Cost of Waiting for Accurate Predictions Ali Shirali, Ariel Procaccia, Rediet Abebe

Severing Spurious Correlations with Data Pruning Varun Mulchandani, Jung-Eun Kim

RMB: Comprehensively benchmarking reward models in LLM alignment Enyu Zhou, Guodong Zheng, Binghai Wang, Zhiheng Xi, Shihan Dou, Rong Bao, Wei Shen, Limao Xiong, Jessica Fan, Yurong Mou, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation Cheng Yang, Chufan Shi, Yaxin Liu, Bo Shui, JUNJIE WANG, Mohan Jing, Linran XU, Xinyu Zhu, Siheng Li, Yuxiang Zhang, Gongye Liu, Xiaomei Nie, Deng Cai, Yujiu Yang

MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, hua wu

Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance Siyu Sun, Han Lu, Jiangtong Li, Yichen Xie, Tianjiao Li, Xiaokang Yang, Liqing Zhang, Junchi Yan

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees Weibin Liao, Xu Chu, Yasha Wang

Scaling and evaluating sparse autoencoders Leo Gao, Tom Dupre la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu

Aligned LLMs Are Not Aligned Browser Agents Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine Chang, Vaughn Robinson, Shuyan Zhou, Matt Fredrikson, Sean Hendryx, Summer Yue, Zifan Wang

Bounds on $L_p$ Errors in Density Ratio Estimation via $f$-Divergence Loss Functions Yoshiaki Kitazawa

SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix Peng Dai, Feitong Tan, Qiangeng Xu, David Futschik, Ruofei Du, Sean Fanello, XIAOJUAN QI, Yinda Zhang

CR-CTC: Consistency regularization on CTC for improved speech recognition Zengwei Yao, Wei Kang, Xiaoyu Yang, Fangjun Kuang, Liyong Guo, Han Zhu, Zengrui Jin, Zhaoqing Li, Long Lin, Daniel Povey

Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause

KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models Eunice Yiu, Maan Qraitem, Anisa Majhi, Charlie Wong, Yutong Bai, Shiry Ginosar, Alison Gopnik, Kate Saenko

Towards counterfactual fairness through auxiliary variables Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li

MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Wang, Lijuan Wang, Xin Wang

InstaRevive: One-Step Image Enhancement via Dynamic Score Matching Yixuan Zhu, Haolin Wang, Ao Li, Wenliang Zhao, Yansong Tang, Jingxuan Niu, Lei Chen, Jie Zhou, Jiwen Lu

Towards Out-of-Modal Generalization without Instance-level Modal Correspondence Zhuo Huang, Gang Niu, Bo Han, Masashi Sugiyama, Tongliang Liu

Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging Ke Wang, Nikos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing William June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee

High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws Muhammed Ildiz, Halil Gozeten, Ege Taga, Marco Mondelli, Samet Oymak

MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian Theis, Stephan Günnemann

Learning Gain Map for Inverse Tone Mapping yinuo liao, Yuanshen Guan, Ruikang Xu, Jiacheng Li, Shida Sun, Zhiwei Xiong

Multi-objective Differentiable Neural Architecture Search Rhea Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter

Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei

Uncovering Latent Memories in Large Language Models Sunny Duan, Mikail Khona, Abhiram Iyer, Rylan Schaeffer, Ila Fiete

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Linh Tran, Wei Sun, Stacy Patterson, Ana Milanova

To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions Noah Marshall, Ke Liang Xiao, Atish Agarwala, Elliot Paquette

Understanding the Stability-based Generalization of Personalized Federated Learning Yingqi Liu, Qinglun Li, Jie Tan, Yifan Shi, Li Shen, Xiaochun Cao

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Ben Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng

Rethinking Light Decoder-based Solvers for Vehicle Routing Problems Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin XU

On the expressiveness and spectral bias of KANs Yixuan Wang, Jonathan Siegel, Ziming Liu, Thomas Hou

Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern, Francesco Di Giovanni, Michael Bronstein, Johannes Lutzeyer

Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling Yuma Ichikawa, Yamato Arai

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu

PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa

Flow matching achieves almost minimax optimal convergence Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko, Masanori Koyama

FlashMask: Efficient and Rich Mask Extension of FlashAttention Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang

SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour Tom George, Pierre Glaser, Kimberly Stachenfeld, Caswell Barry, Claudia Clopath

Utilitarian Algorithm Configuration for Infinite Parameter Spaces Devon Graham, Kevin Leyton-Brown

Composing Unbalanced Flows for Flexible Docking and Relaxation Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi Jaakkola, Andreas Krause

Differentially Private Steering for Large Language Model Alignment Anmol Goel, Yaxi Hu, Iryna Gurevych, Amartya Sanyal

Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs Barrett Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang, Ser-Nam Lim

Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation Sheng-Feng Yu, Jia-Jiun Yao, Wei-Chen Chiu

MUSE: Machine Unlearning Six-Way Evaluation for Language Models Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah Smith, Chiyuan Zhang

AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models Mintong Kang, Chejian Xu, Bo Li

Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox

Unlocking Global Optimality in Bilevel Optimization: A Pilot Study Quan Xiao, Tianyi Chen

Generalizable Motion Planning via Operator Learning Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov

Rational Decision-Making Agent with Learning Internal Utility Judgment Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun

Faster Algorithms for Structured Linear and Kernel Support Vector Machines Yuzhou Gu, Zhao Song, Lichen Zhang

Adam-mini: Use Fewer Learning Rates To Gain More Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Diederik (Durk) Kingma, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun

TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting Shibo Feng, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen

SAM 2: Segment Anything in Images and Videos Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollar, Christoph Feichtenhofer

Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Zhang, Hao Su

How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos C Daskalakis

RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning Qianlan Yang, Yu-Xiong Wang

Latent Action Pretraining from Videos Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, Mike Zheng Shou

Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance Shifeng Xu, Yanzhu Liu, Adams Kong

Differentiable Integer Linear Programming Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye HAO, Bin Li, Feng Wu

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jeremie Mary, Andrew Comport, Valerie Gouet-Brunet

Strategic Classification With Externalities Safwan Hossain, Evi Micha, Yiling Chen, Ariel Procaccia

Dissecting Adversarial Robustness of Multimodal LM Agents Chen Wu, Rishi Shah, Jing Yu Koh, Russ Salakhutdinov, Daniel Fried, Aditi Raghunathan

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Ziyan Jiang, Wang Zhu, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen

Learning Mask Invariant Mutual Information for Masked Image Modeling Tao Huang, Yanxiang Ma, Shan You, Chang Xu

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Songtao Huang, Zhen Zhao, Can Li, LEI BAI

Rethinking Multiple-Instance Learning From Feature Space to Probability Space Zhaolong Du, Shasha Mao, Xuequan Lu, Mengnan Qi, Yimeng Zhang, Jing Gu, Licheng Jiao

Chain-of-region: Visual Language Models Need Details for Diagram Analysis Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen

Debiasing Federated Learning with Correlated Client Participation Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei

Vector-ICL: In-context Learning with Continuous Vector Representations Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao

Improving Unsupervised Constituency Parsing via Maximizing Semantic Information Junjie Chen, Xiangheng He, Yusuke Miyao, Danushka Bollegala

Democratic Training Against Universal Adversarial Perturbations Bing Sun, Jun Sun, Wei Zhao

From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks Jie Yang, Yuwen Wang, Kaixuan Chen, Tongya Zheng, Yihe Zhou, Zhenbang Xiao, Ji Cao, Mingli Song, Shunyu Liu

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin SU, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu

Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung

Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? Charles Dawson, Van Tran, Max Li, Chuchu Fan

GMValuator: Similarity-based Data Valuation for Generative Models Jiaxi Yang, Wenlong Deng, Benlin Liu, Yangsibo Huang, James Y Zou, Xiaoxiao Li

Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints Mihaela Stoian, Eleonora Giunchiglia

Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev Arora

GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks Shuhan Song, Ping Li, Ming Dun, Maolei Huang, Huawei Cao, Xiaochun Ye

Can LLMs Solve Longer Math Word Problems Better? Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang

Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? Yutong Yin, Zhaoran Wang

ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization The Viet Bui, Thanh Nguyen, Tien Mai

BenTo: Benchmark Reduction with In-Context Transferability Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou

Intrinsic User-Centric Interpretability through Global Mixture of Experts Vinitra Swamy, Syrielle Montariol, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser

Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving Peidong Li, Dixiao Cui

The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD Milad Nasr, Thomas Steinke, Borja Balle, Christopher Choquette-Choo, Arun Ganesh, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis

CollabEdit: Towards Non-destructive Collaborative Knowledge Editing Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin, Tao Lin

Nonlinear Sequence Embedding by Monotone Variational Inequality Jonathan Y. Zhou, Yao Xie

GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai

Scaling Autonomous Agents via Automatic Reward Modeling And Planning Zhenfang Chen, Delin Chen, Rui Sun, Wenjun Liu, Chuang Gan

Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel Castro, Ben Glocker

Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryosuke Yamaki, Ryotaro Shimizu, Yuki Saito, Julian McAuley, Hiroki Naganuma

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li

Boosting Multiple Views for pretrained-based Continual Learning Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Phung, Khoat Than, Trung Le

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwaraknath Gnaneshwar, Acyr Locatelli, Robert Kirk, Tim Rocktaeschel, Edward Grefenstette, Max Bartolo

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows" Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting Ronghua Zheng, Hanru Bai, Weiyang Ding

BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz

ImProver: Agent-Based Automated Proof Optimization Riyaz Ahuja, Jeremy Avigad, Prasad Tetali, Sean Welleck

Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami

Accelerating Training with Neuron Interaction and Nowcasting Networks Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien

Knowledge Localization: Mission Not Accomplished? Enter Query Localization! Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models Qiushi Huang, Tom Ko, Zhan ZHUANG, Lilian Tang, Yu Zhang

Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu

Gated Delta Networks: Improving Mamba2 with Delta Rule Songlin Yang, Jan Kautz, Ali Hatamizadeh

Correlation and Navigation in the Vocabulary Key Representation Space of Language Models Letian Peng, Chenyang An, Jingbo Shang

TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking Danqing Wang, Jianxin Ma, Fei Fang, Lei Li

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As, Bhavya, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause

Bayesian WeakS-to-Strong from Text Classification to Generation Ziyun Cui, Ziyang Zhang, Guangzhi Sun, Wen Wu, Chao Zhang

Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling Yuwei Cheng, Fan Yao, Xuefeng Liu, Haifeng Xu

Exploring Local Memorization in Diffusion Models via Bright Ending Attention Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu

Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models Qiong Wu, Zhaoxi Ke, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji

ProteinBench: A Holistic Evaluation of Protein Foundation Models Fei YE, Zaixiang Zheng, Dongyu Xue, Yuning Shen, Lihao Wang, Yiming Ma, Yan Wang, Xinyou Wang, Xiangxin Zhou, Quanquan Gu

SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-fang Wang, Weining Shen, Hanjie Chen

SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection Jingjie Zhang, Hanqun Cao, Zijun Gao, Xiaorui Wang, Chunbin Gu

Prototype antithesis for biological few-shot class-incremental learning Binghao Liu, Han Yang, Fang Wan, Fei Gu

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu

Open-World Reinforcement Learning over Long Short-Term Imagination Jiajian Li, Qi Wang, Yunbo Wang, Xin Jin, Yang Li, Wenjun Zeng, Xiaokang Yang

Compute-Optimal LLMs Provably Generalize Better with Scale Marc Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, Zico Kolter, Andrew Gordon Wilson

Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking Mattia Segu, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Luc Van Gool, Bernt Schiele

Sharpness-Aware Minimization: General Analysis and Improved Rates Dimitris Oikonomou, Nicolas Loizou

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu

Training-Free Dataset Pruning for Instance Segmentation Yalun Dai, Lingao Xiao, Ivor Tsang, Yang He

YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Liao

HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes Xin Lin, Shi Luo, Xiaojun Shan, Xiaoyu Zhou, Chao Ren, Lu Qi, Ming-Hsuan Yang, Nuno Vasconcelos

E(3)-equivariant models cannot learn chirality: Field-based molecular generation Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki

Exact Community Recovery under Side Information: Optimality of Spectral Algorithms Julia Gaudio, Nirmit Joshi

DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong, Suyuan Liu, Xinwang Liu, En Zhu

TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik

Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang, Xiaoming Huo, Hao Wang

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Mingxi Lei, Chunwei Ma, Meng Ding, Yufan Zhou, Ziyun Huang, Jinhui Xu

Streamlining Redundant Layers to Compress Large Language Models Xiaodong Chen, Yuxuan Hu, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen

Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Shuang Liu, Yihan Wang, Yifan Zhu, Yibo Miao, XIAOSHAN GAO

Optimizing importance weighting in the presence of sub-population shifts Floris Holstege, Bram Wouters, Noud Giersbergen, Cees Diks

Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport Haokai Hong, Wanyu LIN, KC Tan

The Complexity of Two-Team Polymatrix Games with Independent Adversaries Alexandros Hollender, Gilbert Maystre, Sai Ganesh Nagarajan

The 3D-PC: a benchmark for visual perspective taking in humans and machines Drew Linsley, Peisen Zhou, Alekh Ashok, Akash Nagaraj, Gaurav Suhas Gaonkar, Francis Lewis, Zygmunt Pizlo, Thomas Serre

Fine-tuning with Reserved Majority for Noise Reduction Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang

Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel, Hava Siegelmann

The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws Tian Jin, Ahmed Imtiaz Humayun, Utku Evci, Suvinay Subramanian, Amir Yazdanbakhsh, Dan Alistarh, Gintare Karolina Dziugaite

Locality Sensitive Avatars From Video Chunjin Song, Zhijie Wu, Shih-Yang Su, Bastian Wandt, Leonid Sigal, Helge Rhodin

Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation Xiaojuan Wang, Boyang Zhou, Brian Curless, Ira Kemelmacher-Shlizerman, Aleksander Holynski, Steve Seitz

As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss Xin Mao, Huimin Xu, Feng-Lin Li, Ziqi Jin, WANG CHEN, Wei Zhang, Anh Tuan Luu

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Ruiqi Ni, zherong pan, Ahmed Hussain Qureshi

Solving New Tasks by Adapting Internet Video Knowledge Calvin Luo, Zilai Zeng, Yilun Du, Chen Sun

VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing Xiangpeng Yang, Linchao Zhu, Hehe Fan, Yi Yang

Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions Yan Ru Pei

EG4D: Explicit Generation of 4D Object without Score Distillation Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li

On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Yingnian Wu

On the Benefits of Attribute-Driven Graph Domain Adaptation Ruiyi Fang, Bingheng Li, zhao kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Charles Ling, Boyu Wang

Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse Maojia Song, Shang Hong Sim, Rishabh Bhardwaj, Hai Leong Chieu, Navonil Majumder, Soujanya Poria

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul YE

Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents Boyu Gou, Demi Ruohan Wang, Boyuan Zheng, Yanan Xie, Cheng Chang, Yiheng Shu, Huan Sun, Yu Su

6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering Zhongpai Gao, Benjamin Planche, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Ziyan Wu

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation Sang-Hoon Lee, Ha-Yeong Choi, Seong-Whan Lee

Semantix: An Energy-guided Sampler for Semantic Style Transfer Huiang He, Minghui HU, Chuanxia Zheng, Chaoyue Wang, Tat-Jen Cham

High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation Ziye Wang, Yiran Qin, Lin Zeng, Ruimao Zhang

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models Pei Wang, Yanan Wu, Zekun Wang, JIAHENG LIU, Xiaoshuai Song, Z.Y. Peng, ken deng, Chenchen Zhang, JiakaiWang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, wenbo su, Bo Zheng

Language Models Are Implicitly Continuous Samuele Marro, Davide Evangelista, X. Huang, Emanuele La Malfa, Michele Lombardi, Michael Wooldridge

Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training Boyu Liu, Haoyu Huang, Linlin Yang, Yanjing Li, Guodong Guo, Xianbin Cao, Baochang Zhang

Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective Jialong Chen, Bowen Deng, Zhen WANG, Chuan Chen, Zibin Zheng

Plastic Learning with Deep Fourier Features Alex Lewandowski, Dale Schuurmans, Marlos C. Machado

Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator Wenhao Xu, Xuefeng Gao, Xuedong He

FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models Zhipei Xu, Xuanyu Zhang, Runyi Li, Zecheng Tang, Qing Huang, Jian Zhang

Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi, Bahareh Tolooshams, anima anandkumar

SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen

AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors Ruoxuan Feng, Jiangyu Hu, Wenke Xia, Tianci Gao, Ao Shen, Yuhao Sun, Bin Fang, Di Hu

TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan E Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele

Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction Liangliang Shi, Yufeng Li, Kaipeng Zeng, Yihui Tu, Junchi Yan

Persistent Pre-training Poisoning of LLMs Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramer, Daphne Ippolito

Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation Itamar Zimerman, ameen ali ali, Lior Wolf

TDDBench: A Benchmark for Training data detection Zhihao Zhu, Yi Yang, Defu Lian

MallowsPO: Fine-Tune Your LLM with Preference Dispersions Haoxian Chen, Hanyang Zhao, Henry Lam, David Yao, Wenpin Tang

Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li

Metric-Driven Attributions for Vision Transformers Chase Walker, Sumit Jha, Rickard Ewetz

Systematic Outliers in Large Language Models Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang

Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong

StringLLM: Understanding the String Processing Capability of Large Language Models Xilong Wang, Hao Fu, Jindong Wang, Neil Gong

MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents Junpeng Yue, Xinrun Xu, Börje F. Karlsson, Zongqing Lu

Quantum-PEFT: Ultra parameter-efficient fine-tuning Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher

SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance Kunal Singh, Ankan Biswas, Sayandeep Bhowmick, Pradeep Moturi, Siva Gollapalli

SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography Xuanyu Zhang, Jiarui Meng, Zhipei Xu, Shuzhou Yang, Yanmin Wu, Ronggang Wang, Jian Zhang

Factor Graph-based Interpretable Neural Networks Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia

TopoDiffusionNet: A Topology-aware Diffusion Model Saumya Gupta, Dimitris Samaras, Chao Chen

EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow Yufei Huang, Yunshu Liu, Lirong Wu, Haitao Lin, Cheng Tan, Odin Zhang, Zhangyang Gao, Siyuan Li, Zicheng Liu, Yunfan Liu, Tailin Wu, Stan Z Li

metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models Alex Kipnis, Konstantinos Voudouris, Luca Schulze Buschoff, Eric Schulz

Retri3D: 3D Neural Graphics Representation Retrieval Yushi Guan, Daniel Kwan, Jean Dandurand, Xi Yan, Ruofan Liang, Yuxuan Zhang, Nilesh Jain, Nilesh Ahuja, Selvakumar Panneer, Nandita Vijaykumar

Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion Xingqun Qi, Yatian Wang, Hengyuan Zhang, Jiahao Pan, Wei Xue, Shanghang Zhang, Wenhan Luo, Qifeng Liu, Yike Guo

Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu

Differentiable Causal Discovery for Latent Hierarchical Causal Models Parjanya Prashant, Ignavier Ng, Kun Zhang, Biwei Huang

Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning Chongyi Zheng, Jens Tuyls, Joanne Peng, Benjamin Eysenbach

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang

Spherical Tree-Sliced Wasserstein Distance Viet-Hoang Tran, Thanh Chu, Minh-Khoi Nguyen-Nhat, Trang Pham, Tam Le, Tan Nguyen

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation Xinchen Zhang, Ling Yang, Guohao Li, YaQi Cai, xie jiake, Yong Tang, Yujiu Yang, Mengdi Wang, Bin CUI

Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations Lorenzo Basile, Santiago Acevedo, Luca Bortolussi, Fabio Anselmi, Alex Rodriguez

CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation Matan Rusanovsky, Or Hirschorn, Shai Avidan

Learning General-purpose Biomedical Volume Representations using Randomized Synthesis Neel Dey, Benjamin Billot, Hallee Wong, Clinton Wang, Mengwei Ren, Ellen Grant, Adrian Dalca, Polina Golland

Inverse decision-making using neural amortized Bayesian actors Dominik Straub, Tobias Fabian Niehues, Jan Peters, Constantin Rothkopf

TopoLM: brain-like spatio-functional organization in a topographic language model Neil Rathi, Johannes Mehrer, Badr AlKhamissi, Taha Binhuraib, Nicholas Blauch, Martin Schrimpf

Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation Abdelrahman Eldesokey, Peter Wonka

CoInD: Enabling Logical Compositions in Diffusion Models Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti

Fast training and sampling of Restricted Boltzmann Machines Nicolas BEREUX, Aurélien Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan

Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan Arik

ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design Keir Adams, Kento Abeywardane, Jenna Fromer, Connor Coley

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data Zhiyuan Zhou, Andy Peng, Qiyang Li, Sergey Levine, Aviral Kumar

SMT: Fine-Tuning Large Language Models with Sparse Matrices Haoze He, Juncheng Li, Xuan Jiang, Heather Miller

A Stochastic Approach to the Subset Selection Problem via Mirror Descent Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat, Yaroslav Fyodorov, Ran Moshe, Fiana Raiber, Alex Shtoff, Oren Somekh, Nadav Hallak

Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context Spencer Frei, Gal Vardi

Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs Xuandong Zhao, Lei Li, Yu-Xiang Wang

Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion zhenwei Wang, Tengfei Wang, Zexin He, Gerhard Hancke, Ziwei Liu, Rynson W Lau

Is Your Multimodal Language Model Oversensitive to Safe Queries? Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh

6D Object Pose Tracking in Internet Videos for Robotic Manipulation Georgy Ponimatkin, Martin Cífka, Tomas Soucek, Médéric Fourmy, Yann Labbé, Vladimir Petrik, Josef Sivic

DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu

Going Beyond Static: Understanding Shifts with Time-Series Attribution Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar

Hessian-Free Online Certified Unlearning Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei

MAST: model-agnostic sparsified training Yury Demidovich, Grigory Malinovsky, Egor Shulgin, Peter Richtarik

Consistency Checks for Language Model Forecasters Daniel Paleka, Abhimanyu Pallavi Sudhir, Alejandro Alvarez, Vineeth Bhat, Adam Shen, Evan Wang, Florian Tramer

Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes Jongmin Lee, Ernest Ryu

CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, zhibin wang, Jinfa Huang, Junchi Yan

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking Xingrun Xing, Boyan Gao, Zheng Liu, David Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang

Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? Maxime Méloux, Silviu Maniu, François Portet, Maxime Peyrard

Simulating Human-like Daily Activities with Desire-driven Autonomy Yiding Wang, Yuxuan Chen, Fangwei Zhong, Long Ma, Yizhou Wang

Comparing noisy neural population dynamics using optimal transport distances Amin Nejatbakhsh, Victor Geadah, Alex Williams, David Lipshutz

Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji

Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Aleksei Naumov, Sergey Samsonov

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

Generative Monoculture in Large Language Models Fan Wu, Emily Black, Varun Chandrasekaran

From Commands to Prompts: LLM-based Semantic File System for AIOS Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang

FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality Zhengyao Lyu, Chenyang Si, Junhao Song, Zhenyu Yang, Yu Qiao, Ziwei Liu, Kwan-Yee K Wong

Advantage Alignment Algorithms Juan Duque, Milad Aghajohari, Timotheus Cooijmans, Razvan Ciuca, Tianyu Zhang, Gauthier Gidel, Aaron Courville

Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents Hao Bai, Yifei Zhou, Li Li, Sergey Levine, Aviral Kumar

FIRING-Net: A filtered feature recycling network for speech enhancement Xinmeng Xu, Yiqun Zhang, Jizhen Li, Yuhong Yang, Yong Luo, Weiping Tu

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods Yuxuan Yue, Xing Hu, Dawei Yang, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, XUCHEN, Sifan Zhou

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou

GameArena: Evaluating LLM Reasoning through Live Computer Games Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica, Haojian Jin, Hao Zhang

Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models Yuchen Yuchen, Xiangzhong Fang, Hanting Chen, Yunhe Wang

Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu, Won Hwa Kim

Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy Mingyang Zhao, Gaofeng Meng, Dong-ming Yan

EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING Aditya Ramesh, Shivam Bhardwaj, Aditya Saibewar, Manohar Kaul

SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency Yiming Xie, Chun-Han Yao, Vikram Voleti, Huaizu Jiang, Varun Jampani

Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators Ariel Elnekave, Yair Weiss

Residual Stream Analysis with Multi-Layer SAEs Tim Lawson, Lucy Farnik, Conor Houghton, Laurence Aitchison

HeadMap: Locating and Enhancing Knowledge Circuits in LLMs Xuehao Wang, Liyuan Wang, Binghuai Lin, Yu Zhang

Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Jing Zhang

Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model Longrong Yang, Dong Shen, Chaoxiang Cai, Fan Yang, Tingting Gao, Di ZHANG, Xi Li

Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control Aleksandar Makelov, Georg Lange, Neel Nanda

Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers Lei Chen, Joan Bruna, Alberto Bietti

Adaptive Length Image Tokenization via Recurrent Allocation Shivam Duggal, Phillip Isola, Antonio Torralba, William Freeman

Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale Alaa Khaddaj, Logan Engstrom, Aleksander Madry

Energy-Based Diffusion Language Models for Text Generation Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat

VLMaterial: Procedural Material Generation with Large Vision-Language Models Beichen Li, Rundi Wu, Armando Solar-Lezama, Changxi Zheng, Liang Shi, Bernd Bickel, Wojciech Matusik

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data Jiajie Li, Brian Quaranto, Chenhui Xu, Ishan Mishra, Ruiyang Qin, Dancheng Liu, Peter Kim, Jinjun Xiong

Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation Xinpeng Wang, Chengzhi (Martin) Hu, Paul Röttger, Barbara Plank

NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative Asmar Nadeem, Faegheh Sardari, Robert Dawes, Syed Husain, Adrian Hilton, Armin Mustafa

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Xiaoxuan Hou, Jiayi Yuan, Joel Z Leibo, Natasha Jaques

Improved Diffusion-based Generative Model with Better Adversarial Robustness Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma

Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens Stanislav Fort

Mixture-of-Agents Enhances Large Language Model Capabilities Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Y Zou

Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion Jinbiao Chen, Jiahai Wang, Zhiguang Cao, Yaoxin Wu

Vision Language Models are In-Context Value Learners Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia

UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning Shicheng Liu, Minghui Zhu

AFlow: Automating Agentic Workflow Generation Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, XiongHui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bang Liu, Yuyu Luo, Chenglin Wu

Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka

LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace Yan Yang, Bin Gao, Ya-xiang Yuan

ALLaM: Large Language Models for Arabic and English M Saiful Bari, Yazeed Alnumay, Norah Alzahrani, Nouf Alotaibi, Hisham Alyahya, AlRashed, Faisal Mirza, Shaykhah Alsubaie, Hassan Alahmed, Ghadah Alabduljabbar, Raghad Alkhathran, Yousef Almushayqih, Raneem Alnajim, Salman I Alsubaihi, Maryam Al Mansour, Saad Hassan, Majed Alrubaian, Ali Alammari, Zaki Alawami, Abdulmohsen Al-Thubaity, Ahmed Abdelali, Jeril Kuriakose, Abdalghani Abujabal, Nora Al-Twairesh, Areeb Alowisheq, Haidar Khan

GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao

Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang

Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster

Affine Steerable Equivariant Layer for Canonicalization of Neural Networks Yikang Li, Yeqing Qiu, Yuxuan Chen, Zhouchen Lin

Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations Xiuchuan Li, Tongliang Liu

The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng

TULIP: Token-length Upgraded CLIP Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki Asano, Nanne van Noord, Marcel Worring, Cees G Snoek

RouteLLM: Learning to Route LLMs from Preference Data Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E Gonzalez, M Kadous, Ion Stoica

Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet

Rethinking Spiking Neural Networks from an Ensemble Learning Perspective Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Hanpu Deng

Learning Continually by Spectral Regularization Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar, Andras Gyorgy, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado

From Attention to Activation: Unraveling the Enigmas of Large Language Models Prannay Kaul, Chengcheng Ma, Ismail Elezi, Jiankang Deng

MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models Ziyu Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Haodong Duan, Conghui He, Yuanjun Xiong, Dahua Lin, Jiaqi Wang

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob Hansen, James R Glass, David Cox, Rameswar Panda, Rogerio Feris, Alan Ritter

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin

One Step Diffusion via Shortcut Models Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel

Revisiting a Design Choice in Gradient Temporal Difference Learning Xiaochi Qian, Shangtong Zhang

Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao

Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang, Zixiang Chen, Quanquan Gu

A Geometric Framework for Understanding Memorization in Generative Models Brendan Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse Cresswell, Gabriel Loaiza-Ganem

Learning Geometric Reasoning Networks For Robot Task And Motion Planning Smail Ait Bouhsain, Rachid Alami, Thierry Simeon

DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning Chao Li, Ziwei Deng, Chenxing Lin, Wenqi Chen, Yongquan Fu, Weiquan Liu, Chenglu Wen, Cheng Wang, Siqi Shen

IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Juan Zhang, Hong Li, Jiaming Liu, Conghui He, Wentao Zhang, Jianzhuang Liu, Baochang Zhang, Shuicheng YAN

Dynamic Negative Guidance of Diffusion Models Felix Koulischer, Johannes Deleu, Gabriel Raya, Thomas Demeester, Luca Ambrogioni

Generalization through variance: how noise shapes inductive biases in diffusion models John Vastola

Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme

Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen, Shuze Liu, Shangtong Zhang

Instant Policy: In-Context Imitation Learning via Graph Diffusion Vitalis Vosylius, Edward Johns

Non-myopic Generation of Language Models for Reasoning and Planning Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong

Lawma: The Power of Specialization for Legal Annotation Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna Gummadi, Moritz Hardt, Michael Livermore

Anyprefer: An Agentic Framework for Preference Data Synthesis Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao

Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models Negin Raoof, Litu Rout, Giannis Daras, sujay sanghavi, Constantine Caramanis, Sanjay Shakkottai, Alex Dimakis

MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs Yusu Qian, Hanrong Ye, Jean-Philippe Fauconnier, Peter Grasch, Yinfei Yang, Zhe Gan

TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko

On the Identification of Temporal Causal Representation with Instantaneous Dependence Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang

When does compositional structure yield compositional generalization? A kernel theory. Samuel Lippl, Kimberly Stachenfeld

OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference Dujian Ding, Bicheng Xu, Laks Lakshmanan

Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness Xianglu Wang, Hu Ding

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang

Learning Harmonized Representations for Speculative Sampling Lefan Zhang, Xiaodan Wang, Yanhua Huang, Ruiwen Xu

Emergence of a High-Dimensional Abstraction Phase in Language Transformers Emily Cheng, Diego Doimo, Corentin Kervadec, Iuri Macocco, Lei Yu, Alessandro Laio, Marco Baroni

Re-evaluating Open-ended Evaluation of Large Language Models Si-Qi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot

BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks Yunhan Zhao, Xiang Zheng, Lin Luo, Yige Li, Xingjun Ma, Yu-Gang Jiang

DPLM-2: A Multimodal Diffusion Protein Language Model Xinyou Wang, Zaixiang Zheng, Fei YE, Dongyu Xue, Shujian Huang, Quanquan Gu

Multi-Dimensional Conformal Prediction Yam Tawachi, Bracha Laufer-Goldshtein

LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid Tianyi Zhang, Anshumali Shrivastava

Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He, Can Chang, Huazhe Xu, Ling Pan

RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, Ming-Hsuan Yang

Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher Lucas, David Abel, Prakash Panangaden, Stefano V. Albrecht

Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Ryan Lucas, Rahul Mazumder

On Scaling Up 3D Gaussian Splatting Training Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie

SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training Nie Lin, Takehiko Ohkawa, Yifei Huang, Mingfang Zhang, Minjie Cai, Ming Li, Ryosuke Furuta, Yoichi Sato

LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh Jing Wen, Alex Schwing, Shenlong Wang

Benchmarking Predictive Coding Networks -- Made Simple Luca Pinchetti, Chang Qi, Oleh Lokshyn, Cornelius Emde, Amine M'Charrak, Mufeng Tang, Simon Frieder, Bayar Menzat, Gaspard Oliviers, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori

IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities Ziyang Li, Saikat Dutta, Mayur Naik

Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment Mingzhi Wang, Chengdong Ma, Qizhi Chen, Linjian Meng, Yang Han, Jiancong Xiao, Zhaowei Zhang, Jing Huo, Weijie Su, Yaodong Yang

Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout Bharat Srikishan, Daniel O'Malley, Mohamed Mehana, Nicholas Lubbers, Nikhil Muralidhar

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Yunxiao Shi, Wenfang Lin, Yongfeng Zhang

OMG: Opacity Matters in Material Modeling with Gaussian Splatting Silong Yong, Venkata Nagarjun Pudureddiyur Manivannan, Bernhard Kerbl, Zifu Wan, Simon Stepputtis, Katia Sycara, Yaqi Xie

TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation Chenghan Li, Mingchen LI, Ruisheng Diao

Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik

EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation Jiaxiang Tang, Max Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang

Decoupled Finetuning for Domain Generalizable Semantic Segmentation Jaehyun Pahk, Donghyeon Kwon, Seong Joon Oh, Suha Kwak

Long-tailed Adversarial Training with Self-Distillation Seungju Cho, Hongsin Lee, Changick Kim

SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation Jongmin Lee, Meiqi Sun, Pieter Abbeel

Expected Return Symmetries Darius Muglich, Johannes Forkel, Elise van der Pol, Jakob Foerster

Can Watermarked LLMs be Identified by Users via Crafted Prompts? Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip Yu, Xuming Hu

Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization Zhuoqun Li, Xuanang Chen, Haiyang Yu, Hongyu Lin, Yaojie Lu, Qiaoyu Tang, Fei Huang, Xianpei Han, Le Sun, Yongbin Li

Learning Efficient Positional Encodings with Graph Neural Networks Charilaos Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro

Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham

Learning Hierarchical Polynomials of Multiple Nonlinear Features Hengyu Fu, Zihao Wang, Eshaan Nichani, Jason Lee

Mask in the Mirror: Implicit Sparsification Tom Jacobs, Rebekka Burkholz

Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection Yuguang Yang, Tongfei Chen, Haoyu Huang, Linlin Yang, Chunyu Xie, Dawei Leng, Xianbin Cao, Baochang Zhang

A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules Shih-Hsin Wang, Yuhao Huang, Justin Baker, Yuan-En Sun, Qi Tang, Bao Wang

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara E Hammer

Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions Zhihao He, Hang Yu, Zi Gong, Shi Zhan Liu, Jianguo Li, Weiyao Lin

Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence Weize Chen, Ziming You, Ran Li, yitong guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun

Memory Mosaics Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Leon Bottou

PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong Wong, Tianlong Chen

Simple, Good, Fast: Self-Supervised World Models Free of Baggage Jan Robine, Marc Höftmann, Stefan Harmeling

What Are Good Positional Encodings for Directed Graphs? Yinan Huang, Haoyu Wang, Pan Li

Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai Oh

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models Tanqiu Jiang, Changjiang Li, Fenglong Ma, Ting Wang

Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues Riccardo Grazzi, Julien Siems, Arber Zela, Jörg Franke, Frank Hutter, massimiliano pontil

Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, EN-HUI YANG

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

Language-Image Models with 3D Understanding Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone

HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Tristan Tomilin, Meng Fang, Mykola Pechenizkiy

Compute-Constrained Data Selection Junjie Oscar Yin, Alexander Rush

Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions Jianxin Zhang, Josh Viktorov, Doosan Jung, Emily Pitler

DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks Saman Forouzandeh, Parham Moradi Dowlatabadi, Mahdi Jalili

RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank Tanya Chowdhury, Yair Zick, James Allan

Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Byoungwoo Park, Hyungi Lee, Juho Lee

IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations Zhibing Li, Tong Wu, Jing Tan, Mengchen Zhang, Jiaqi Wang, Dahua Lin

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs Mingquan Feng, Yixin Huang, Weixin Liao, Yuhong Liu, Yizhou Liu, Junchi Yan

BadRobot: Jailbreaking Embodied LLM Agents in the Physical World Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Changgan Yin, Minghui Li, Lulu Xue, Yichen Wang, Shengshan Hu, Aishan Liu, Peijin Guo, Leo Zhang

Adaptive Batch Size for Privately Finding Second-Order Stationary Points Daogao Liu, Kunal Talwar

VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks Lawrence Jang, Yinheng Li, Dan Zhao, Charles Ding, Justin Lin, Paul Pu Liang, Rogerio Bonatti, Kazuhito Koishida

Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low

Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning Hai Zhang, Boyuan Zheng, Tianying Ji, Jinhang Liu, Anqi Guo, Junqiao Zhao, Lanqing Li

Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks Siddharth Joshi, Jiayi Ni, Baharan Mirzasoleiman

Mixture of Parrots: Experts improve memorization more than reasoning Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham Kakade, Eran Malach

Preble: Efficient Distributed Prompt Scheduling for LLM Serving Vikranth Srivatsa, Zijian He, Reyna Abhyankar, Dongming Li, Yiying Zhang

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model Wenhong Zhu, Zhiwei He, Xiaofeng Wang, Pengfei Liu, Rui Wang

Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics Alexander Tyurin

Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization Zichen Wang, Yaokun Ji, Jianing Tian, Shuangjia Zheng

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Yinan Zheng, Ruiming Liang, Kexin ZHENG, Jinliang Zheng, Liyuan Mao, Jianxiong Li, Weihao Gu, Rui Ai, Shengbo Li, Xianyuan Zhan, Jingjing Liu

DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han

Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation Gao Peng, Le Zhuo, Dongyang Liu, DU, Xu Luo, Longtian Qiu, Yuhang Zhang, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xie, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, Tong He, HE, Junjun He, Yu Qiao, Hongsheng Li

Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning Jaehyeon Son, Soochan Lee, Gunhee Kim

Language Agents Meet Causality -- Bridging LLMs and Causal World Models John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov

Small Models are LLM Knowledge Triggers for Medical Tabular Prediction Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu

TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec

Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs Donggoo Jung, Daehyun Kim, Tae Hyun Kim

A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language Ekdeep Singh Lubana, Kyogo Kawaguchi, Robert Dick, Hidenori Tanaka

Group Downsampling with Equivariant Anti-aliasing Md Ashiqur Rahman, Raymond A. Yeh

OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting Xing Hu, Yuan Cheng, Zhixuan Chen, Dawei Yang, Jiangyong Yu, XUCHEN, Zhihang Yuan, Zhe jiang, Sifan Zhou

Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes Haotian Wu, Gongpu Chen, Deniz Gunduz

GameGen-X: Interactive Open-world Game Video Generation Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao CHEN

Towards a learning theory of representation alignment Francesco Maria Gabriele Insulla, Shuo Huang, Lorenzo Rosasco

Post-hoc Reward Calibration: A Case Study on Length Bias Zeyu Huang, Zihan Qiu, zili wang, Edoardo M. Ponti, Ivan Titov

Attribute-based Visual Reprogramming for Vision-Language Models Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

CONGO: Compressive Online Gradient Optimization Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, Aditya Akella

RuAG: Learned-rule-augmented Generation for Large Language Models Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravanakumar Rajmohan, Qi Zhang

M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model Kehan Wen, Yutong Hu, Yao Mu, Lei Ke

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang

Progressive Mixed-Precision Decoding for Efficient LLM Inference Hao (Mark) Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos Venieris

Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Arik

Active Task Disambiguation with LLMs Katarzyna Kobalczyk, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar

Revisiting Convolution Architecture in the Realm of DNA Foundation Models Yu Bo, Weian Mao, Daniel Shao, Weiqiang Bai, Peng Ye, Xinzhu Ma, Junbo Zhao, Hao Chen, Chunhua Shen

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sung-Yub Kim, Eunho Yang

Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus Collins, Huzefa Rangwala

Sparse components distinguish visual pathways & their alignment to neural networks Ammar I Marvi, Nancy Kanwisher, Meenakshi Khosla

Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA Zhen Yang, Ziwei Du, Minghan Zhang, Wei Du, Jie Chen, Zhen Duan, Shu Zhao

DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu

Progressive Compression with Universally Quantized Diffusion Models Yibo Yang, Justus Will, Stephan Mandt

EmbodiedSAM: Online Segment Any 3D Thing in Real Time Xiuwei Xu, Huangxing Chen, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu

ElasticTok: Adaptive Tokenization for Image and Video Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang, Ziang Yan, Songze Li, Yansong Shi, Zhengrong Yue, Yi Wang, Yali Wang, Yu Qiao, Limin Wang

Provence: efficient and robust context pruning for retrieval-augmented generation Nadezhda Chirkova, Thibault Formal, Vassilina Nikoulina, Stéphane Clinchant

Making Text Embedders Few-Shot Learners Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, Zheng Liu

Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks Zi Wang, Divyam Anshumaan, Ashish Hooda, Yudong Chen, Somesh Jha

Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J Muckley, Karen Ullrich

HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere Hatef Otroshi Shahreza, Sébastien Marcel

Cross-Entropy Is All You Need To Invert the Data Generating Process Patrik Reizinger, Alice Bizeul, Attila Juhos, Julia E Vogt, Randall Balestriero, Wieland Brendel, David Klindt

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao Yang

On Bits and Bandits: Quantifying the Regret-Information Trade-off Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor

Measuring And Improving Engagement of Text-to-Image Generation Models Varun Khurana, Yaman Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy

RegMix: Data Mixture as Regression for Language Model Pre-training Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin

Uncertainty modeling for fine-tuned implicit functions Anna Susmelj, Mael Macuglia, Natasa Tagasovska, Reto Sutter, Sebastiano Caprara, Jean-Philippe Thiran, Ender Konukoglu

A Generalist Hanabi Agent Arjun V Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, Sarath Chandar

Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models Dvir Samuel, Barak Meiri, Haggai Maron, Yoad Tewel, Nir Darshan, Shai Avidan, Gal Chechik, Rami Ben-Ari

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Tianshuo Yang, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao

Boltzmann priors for Implicit Transfer Operators Juan Viguera Diez, Mathias Schreiner, Ola Engkvist, Simon Olsson

SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David Lindell

Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin Haeffele

Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection Lichen Bai, Shitong Shao, zikai zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie

Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization Matthew Burns, Qingyuan Hou, Michael Huang

Speech Robust Bench: A Robustness Benchmark For Speech Recognition Muhammad Shah, David Solans Noguero, Mikko Heikkilä, Bhiksha Raj, Nicolas Kourtellis

System 1.x: Learning to Balance Fast and Slow Planning with Language Models Swarnadeep Saha, Archiki Prasad, Justin Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal

PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions Weifeng Lin, Xinyu Wei, Renrui Zhang, Le Zhuo, Shitian Zhao, Siyuan Huang, Junlin Xie, Gao Peng, Hongsheng Li

GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost Xinyi Shang, Peng Sun, Tao Lin

ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments Hojae Han, seung-won hwang, Rajhans Samdani, Yuxiong He

Active Learning for Neural PDE Solvers Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert

Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury

OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework Junliang Chen, Huaiyuan Xu, Yi Wang, Lap-Pui Chau

Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer

ESE: Espresso Sentence Embeddings Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing Li

Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment Yankai Jiang, Wenhui Lei, Xiaofan Zhang, Shaoting Zhang

Kronecker Mask and Interpretive Prompts are Language-Action Video Learners Jingyi Yang, Zitong YU, Nixiuming, He Jia, Hui Li

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization Chen Bo Calvin Zhang, Zhang-Wei Hong, Aldo Pacchiano, Pulkit Agrawal

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yi-Zhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Matt Riemer, Gopeshh Raaj Subbaraj, Glen Berseth, Irina Rish

TopoNets: High performing vision and language models with brain-like topography Mayukh Deb, Mainak Deb, Apurva Murty

Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics Alireza Mousavi-Hosseini, Denny Wu, Murat A Erdogdu

FOSP: Fine-tuning Offline Safe Policy through World Models Chenyang Cao, Yucheng Xin, Silang Wu, Longxiang He, Zichen Yan, Junbo Tan, Xueqian Wang

Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller, Kathrin Gruber, Dennis Fok

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang

The Crucial Role of Samplers in Online Direct Preference Optimization Ruizhe Shi, Runlong Zhou, Simon Du

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou

Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen

MLPs Learn In-Context on Regression and Classification Tasks William Tong, Cengiz Pehlevan

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors Lin-Zhuo Chen, Kangjie Liu, Youtian Lin, Zhihao Li, Siyu Zhu, Xun Cao, Yao Yao

REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

CityAnchor: City-scale 3D Visual Grounding with Multi-modality LLMs Jinpeng Li, Haiping Wang, Jiabin chen, Yuan Liu, Zhiyang Dou, Yuexin Ma, Sibei Yang, Yuan Li, Wenping Wang, Zhen Dong, Bisheng Yang

Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang

State Space Model Meets Transformer: A New Paradigm for 3D Object Detection Chuxin Wang, Wenfei Yang, Xiang Liu, Tianzhu Zhang

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang XU, Jiang Bian

Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios Li Huaqiu, HuXiaowan, Haoqian Wang

New Algorithms for the Learning-Augmented k-means Problem Junyu Huang, Qilong Feng, Ziyun Huang, Zhen Zhang, Jinhui Xu, Jianxin Wang

Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory Nikola Zubic, Federico Soldà, Aurelio Sulser, Davide Scaramuzza

GraphBridge: Towards Arbitrary Transfer Learning in GNNs Li Ju, Xingyi Yang, Qi Li, Xinchao Wang

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations Richard Bergna, Sergio Calvo Ordoñez, Felix Opolka, Pietro Lio, José Miguel Hernández Lobato

Understanding Optimization in Deep Learning with Central Flows Jeremy Cohen, Alex Damian, Ameet Talwalkar, Zico Kolter, Jason Lee

Protein Language Model Fitness is a Matter of Preference Cade Gordon, Amy Lu, Pieter Abbeel

Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks Runpeng Yu, Xinchao Wang

AtomSurf: Surface Representation for Learning on Protein Structures Vincent Mallet, Yangyang Miao, Souhaib Attaiki, Bruno Correia, Maks Ovsjanikov

Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning Wei Wu, Can Liao, Zizhen Deng, Zhengrui Guo, Jinzhuo Wang

PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection Botao Ren, Xue Yang, Yi Yu, Junwei Luo, Zhidong Deng

GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori Yamada, Vijaya Kolachalama, Venkatesh Saligrama

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding Yeongjae Cho, Keonwoo Kim, Taebaek Hwang, Sungzoon Cho

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Yuda Song, Hanlin Zhang, Carson Eisenach, Sham Kakade, Dean Foster, Udaya Ghai

3D-SPATIAL MULTIMODAL MEMORY Xueyan Zou, Yuchen Song, Ri-Zhao Qiu, Xuanbin Peng, Jianglong Ye, Sifei Liu, Xiaolong Wang

API Pack: A Massive Multi-Programming Language Dataset for API Call Generation Gavin (Zhen) Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda

A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules Kairong Luo, Haodong Wen, Shengding Hu, Zhenbo Sun, Maosong Sun, Zhiyuan Liu, Kaifeng Lyu, Wenguang Chen

Law of the Weakest Link: Cross Capabilities of Large Language Models Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, SHARAN NARANG, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten

Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Chegini, Robert Brauneis, Soheil Feizi

Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks Maksym Andriushchenko, francesco croce, Nicolas Flammarion

What Makes Large Language Models Reason in (Multi-Turn) Code Generation? Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Negrevergne, Gabriel Synnaeve

Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy Yangsibo Huang, Daogao Liu, Lynn Chua, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Milad Nasr, Amer Sinha, Chiyuan Zhang

Towards a Complete Logical Framework for GNN Expressiveness Tuo Xu

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Keyi Shen, Jiangwei Yu, Jose Barreiros, Huan Zhang, Yunzhu Li

CryoFM: A Flow-based Foundation Model for Cryo-EM Densities Yi Zhou, Yilai Li, Jing Yuan, Quanquan Gu

LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, David Woodruff

Graph Neural Networks Gone Hogwild Olga Solodova, Nick Richardson, Deniz Oktay, Ryan P Adams

SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models Kehua Feng, Keyan Ding, Jing Yu, Yiwen Qu, Zhiwen Chen, chengfei lv, Gang Yu, Qiang Zhang, Huajun Chen

RecFlow: An Industrial Full Flow Recommendation Dataset Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yun Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai

Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention Tongzhou Liao, Barnabás Póczos

Near-optimal Active Regression of Single-Index Models Yi Li, Wai Ming Tai

Capability Localization: Capabilities Can be Localized rather than Individual Knowledge Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu

Generalizing Weisfeiler-Lehman Kernels to Subgraphs Dongkwan Kim, Alice Oh

Surprising Effectiveness of pretraining Ternary Language Model at Scale Ayush Kaushal, Tejas Vaidhya, Arnab Mondal, Tejas Pandey, Aaryan Bhagat, Irina Rish

Lines of Thought in Large Language Models Raphaël Sarfati, Toni Liu, Nicolas Boulle, Christopher Earls

Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs Yuheng Zhang, Nan Jiang

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA Xiaorui Su, Yibo Wang, Shanghua Gao, Xiaolong Liu, Valentina Giunchiglia, Djork-Arné Clevert, Marinka Zitnik

From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy Julian Dörfler, Benito van der Zander, Markus Bläser, Maciej Liśkiewicz

GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks Sarp Aykent, Tian Xia

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C.S. Lui

DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes Hengwei Bian, Lingdong Kong, Haozhe Xie, Liang Pan, Yu Qiao, Ziwei Liu

$q$-exponential family for policy optimization Lingwei Zhu, Haseeb Shah, Han Wang, Yukie Nagai, Martha White

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Chenguo Lin, Panwang Pan, Bangbang Yang, Zeming Li, Yadong MU

VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems Xudong Gong, Feng Dawei, Kele Xu, weijia wang, Zhangjun Sun, Xing Zhou, Si Zheng, Bo Ding, Huaimin Wang

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang

Provable unlearning in topic modeling and downstream tasks Stanley Wei, Sadhika Malladi, Sanjeev Arora, Amartya Sanyal

EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig

Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Edgar Schoenfeld, Ali Thabet, Jonas Kohler

Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann, Simon Markus Geisler

Cauchy-Schwarz Regularizers Sueda Taner, Ziyi Wang, Christoph Studer

Scalable Influence and Fact Tracing for Large Language Model Pretraining Tyler Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney

Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion Minkyoung Cho, Yulong Cao, Jiachen Sun, Qingzhao Zhang, Marco Pavone, Jeong Joon Park, Heng Yang, Zhuoqing Mao

Systematic Relational Reasoning With Epistemic Graph Neural Networks Irtaza Khalid, Steven Schockaert

Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics Tianfang Zhu, Dongli Hu, Jiandong Zhou, Kai Du, Anan LI

Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping Tianhao Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong, Cengiz Oztireli

Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View Xuan Liu, Jie ZHANG, HaoYang Shang, Song Guo, Chengxu Yang, Quanyan Zhu

Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games Yanzheng Chen, Jun Yu

Backtracking Improves Generation Safety Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel Bikel, Jason E Weston, Eric Michael Smith

Imputation for prediction: beware of diminishing returns. Marine Le Morvan, Gael Varoquaux

Do LLM Agents Have Regret? A Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman Ozdaglar, Kaiqing Zhang

Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng

Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Nicola Tatzel, Bálint Mucsányi, Osane Hackel, Philipp Hennig

VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning Han Lin, Tushar Nagarajan, Nicolas Ballas, Mahmoud Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha

ToolACE: Winning the Points of LLM Function Calling Weiwen Liu, Xu Huang, Xingshan Zeng, xinlong hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong WANG, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Wang Xinzhi, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon, Anneke Wernerfelt, Sorelle Friedler, Berk Ustun

Diffusion On Syntax Trees For Program Synthesis Shreyas Kapur, Erik Jenner, Stuart Russell

A Decade's Battle on Dataset Bias: Are We There Yet? Zhuang Liu, Kaiming He

ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish Jan-Matthis Lueckmann, Alexander Immer, Alex Chen, Peter Li, Mariela Petkova, Nirmala Iyer, Luuk Hesselink, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff Lichtman, Misha Ahrens, Michal Januszewski, Viren Jain

Scaling Large Language Model-based Multi-Agent Collaboration Chen Qian, Zihao Xie, YiFei Wang, Wei Liu, Kunlun Zhu, Hanchen Xia, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun

Calibrating Expressions of Certainty Peiqi Wang, Barbara Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William Wells III, Tina Kapur, Polina Golland

Towards Hierarchical Rectified Flow Yichi Zhang, Yici Yan, Alex Schwing, Zhizhen Zhao

BodyGen: Advancing Towards Efficient Embodiment Co-Design Haofei Lu, Zhe Wu, Junliang Xing, Jianshu Li, Ruoyu Li, Zhe Li, Yuanchun Shi

Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning Zijian Guo, Weichao Zhou, Shengao Wang, Wenchao Li

Private Mechanism Design via Quantile Estimation Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, Jamie Morgenstern

GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment Aishwarya Jayagopal, Yanrong Zhang, Robert Walsh, Tuan Tan, Anand Jeyasekharan, Vaibhav Rajan

Encryption-Friendly LLM Architecture Donghwan Rho, Taeseong Kim, Minje Park, Jung Woo Kim, Hyunsik Chae, Ernest Ryu, Jung Hee Cheon

Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos Mingfei Han, Linjie Yang, Xiaojun Chang, Lina Yao, Heng Wang

ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models Jianrong Lu, Zhiyu Zhu, Junhui Hou

A Simple Approach to Unifying Diffusion-based Conditional Generation Xirui Li, Charles Herrmann, Kelvin Chan, Yinxiao Li, Deqing Sun, Chao Ma, Ming-Hsuan Yang

Reveal Object in Lensless Photography via Region Gaze and Amplification Xiangjun Yin, Huihui Yue

Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen

LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases Armin Toroghi, Ali Pesaranghader, Tanmana Sadhu, Scott Sanner

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang

Wayward Concepts In Multimodal Models Brandon Trabucco, Max Gurinas, Kyle Doherty, Russ Salakhutdinov

CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling Matthew Fortier, Mats L. Richter, Oliver Sonnentag, Christopher Pal

Better Instruction-Following Through Minimum Bayes Risk Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Pakazad, Graham Neubig

Dynamic Low-Rank Sparse Adaptation for Large Language Models Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji

Generating Freeform Endoskeletal Robots Muhan Li, Lingji Kong, Sam Kriegman

LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision Jiani Huang, Ziyang Li, Mayur Naik, Ser-Nam Lim

The Ramanujan Library - Automated Discovery on the Hypergraph of Integer Relations Itay Beit Halachmi, Ido Kaminer

Neural Functions for Learning Periodic Signal Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park

Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps Han Wang, Yilin Zhao, Dian Li, Xiaohan Wang, sinbadliu, Xuguang Lan, Hui Wang

Conformal Language Model Reasoning with Coherent Factuality Maxon Rubin-Toles, Maya Gambhir, Keshav Ramji, Aaron Roth, Surbhi Goel

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval Shangzhe Di, Zhelun Yu, Guanghao Zhang, Haoyuan Li, ZhongTao, Hao Cheng, Bolin Li, Wanggui He, Fangxun Shu, Hao Jiang

Gramian Multimodal Representation Learning and Alignment Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo, Danilo Comminiello

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin

TabWak: A Watermark for Tabular Diffusion Models Chaoyi Zhu, Jiayi Tang, Jeroen Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, Lydia Chen

Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang, Xu Chen, Xuan Di

LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov

Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation Anqi Li, Feng Li, Yuxi Liu, Runmin Cong, Yao Zhao, Huihui Bai

Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling David Grangier, Simin Fan, Skyler Seto, Pierre Ablin

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models Chengyu Du, Jinyi Han, Yizhou Ying, Aili Chen, Qianyu He, Haokun Zhao, Haoran Guo, Sirui Xia, Jiaqing Liang, zulong chen, Liangyue Li, Yanghua Xiao

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Morgan B Talbot, Gabriel Kreiman, James DiCarlo, Guy Gaziv

From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Jie Cheng, Ruixi Qiao, ma yingwei, Binhua Li, Gang Xiong, Qinghai Miao, Yongbin Li, Yisheng Lv

W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models Shang Wang

Do LLMs have Consistent Values? Naama Rozen, Liat Bezalel, Gal Elidan, Amir Globerson, Ella Daniel

Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? Yifan Feng, Chengwu Yang, Xingliang Hou, Shaoyi Du, Shihui Ying, Zongze Wu, Yue Gao

Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song

SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding Zhenyu Yang, Yuhang Hu, Zemin Du, Dizhan Xue, Shengsheng Qian, Jiahong Wu, Fan Yang, Weiming Dong, Changsheng Xu

Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On Siqi Wan, Jingwen Chen, Yingwei Pan, Ting Yao, Tao Mei

Learning under Temporal Label Noise Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen

Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation Peiwen Sun, Sitong Cheng, Xiangtai Li, Zhen Ye, Huadai Liu, Honggang Zhang, Wei Xue, Yike Guo

Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats Jiaxin Wen, Vivek Hebbar, Caleb Larson, Aryan Bhatt, Ansh Radhakrishnan, Mrinank Sharma, Henry Sleight, Shi Feng, He He, Ethan Perez, Buck Shlegeris, Akbir Khan

Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior Anming Gu, Edward Chien, Kristjan Greenewald

InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng

Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning Mingyang Chen, sunhaoze, Tianpeng Li, Fan Yang, Hao Liang, KeerLu, Bin CUI, Wentao Zhang, Zenan Zhou, Weipeng Chen

CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search Xiao-Wen Yang, Zhi Zhou, Haiming Wang, Aoxue Li, Wen-Da Wei, Hui Jin, Zhenguo Li, Yu-Feng Li

Three-in-One: Fast and Accurate Transducer for Hybrid-Autoregressive ASR Hainan Xu, Travis Bartley, Vladimir Bataev, Boris Ginsburg

EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition Issar Tzachor, Boaz Lerner, Matan Levy, Michael Green, Tal Berkovitz Shalev, Gavriel Habib, Dvir Samuel, Noam Zailer, Or Shimshi, Nir Darshan, Rami Ben-Ari

Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View Kaiyue Wen, Zhiyuan Li, Jason Wang, David Hall, Percy Liang, Tengyu Ma

SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction Jihwan Yoon, Sangbeom Han, Jaeseok Oh, Minsik Lee

How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren, Haoxuan Chen, Grant Rotskoff, Lexing Ying

Enhancing End-to-End Autonomous Driving with Latent World Model Yingyan Li, Lue Fan, Jiawei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, Tieniu Tan

Generalizable Human Gaussians from Single-View Image Jinnan Chen, Chen Li, Jianfeng Zhang, Lingting Zhu, Buzhen Huang, Hanlin Chen, Gim H Lee

Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita

COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han

Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD Ze Peng, Jian Zhang, Yisen Wang, Lei Qi, Yinghuan Shi, Yang Gao

EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning Wei Yu, Songheng Yin, Steve Easterbrook, Animesh Garg

LLM Unlearning via Loss Adjustment with Only Forget Data Yaxuan Wang, Jiaheng Wei, Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei

On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux, Max Zimmer, Sebastian Pokutta

RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code Dhruv Gautam, Spandan Garg, Jinu Jang, Neel Sundaresan, Roshanak Zilouchian

SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning Lun Huang, Qiang Qiu, Guillermo Sapiro

PaCA: Partial Connection Adaptation for Efficient Fine-Tuning Sunghyeon Woo, Sol Namkung, SunWoo Lee, Inho Jeong, Beomseok Kim, Dongsuk Jeon

Do Deep Neural Network Solutions Form a Star Domain? Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh

DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks Wei Liu, Li Yang, Mingxuan Zhao, Shuxun Wang, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu

Personalized Visual Instruction Tuning Renjie Pi, Jianshu Zhang, Tianyang Han, Jipeng Zhang, Rui Pan, Tong Zhang

Homomorphism Expressivity of Spectral Invariant Graph Neural Networks Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang

Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach Zechen Bai, Tianjun Xiao, Tong He, Pichao WANG, Zheng Zhang, Thomas Brox, Mike Zheng Shou

Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model Chunming He, Chengyu Fang, Yulun Zhang, Longxiang Tang, Jinfa Huang, Kai Li, zhenhua guo, Xiu Li, Sina Farsiu

Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models Jungwon Park, Jungmin Ko, Dongnam Byun, Jangwon Suh, Wonjong Rhee

Differentially private learners for heterogeneous treatment effects Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel

Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Zhao Huang, Yipeng Wu, Die Zuo, Jibin Peng, Ziyuan Zhong, Xin WANG, Qing Guo, Xiaosong Jia, Junchi Yan, Di Lin

Accelerating neural network training: An analysis of the AlgoPerf competition Priya Kasimbeg, Frank Schneider, Runa Eschenhagen, Juhan Bae, Chandramouli Shama Sastry, Mark Saroufim, BOYUAN FENG, Less Wright, Edward Yang, Zachary Nado, Sourabh Medapati, Philipp Hennig, Michael Rabbat, George Dahl

Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model Yaxuan Huang, Xili Dai, Jianan Wang, Xianbiao Qi, Yixing Yuan, Xiangyu Yue

Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor Tsang

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen

Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering Kha Pham, Hung Le, Man Ngo, Truyen Tran

DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image Qingxuan Wu, Zhiyang Dou, Sirui Xu, Soshi Shimada, Chen Wang, Zhengming Yu, Yuan Liu, Cheng Lin, Zeyu Cao, Taku Komura, Vladislav Golyanik, Christian Theobalt, Wenping Wang, Lingjie Liu

Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael Schaub

Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF Tengyang Xie, Dylan Foster, Akshay Krishnamurthy, Corby Rosset, Ahmed H Awadallah, Alexander Rakhlin

REFINE: Inversion-Free Backdoor Defense via Model Reprogramming Yukun Chen, Shuo Shao, Enhao Huang, Yiming Li, Pin-Yu Chen, Zhan Qin, Kui Ren

Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits Zihan Zhang, Xiangyang Ji, Yuan Zhou

Why In-Context Learning Models are Good Few-Shot Learners? Shiguang Wu, Yaqing Wang, Quanming Yao

CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution Yunju Cho, Jay-Yoon Lee

Simple Guidance Mechanisms for Discrete Diffusion Models Yair Schiff, Subham Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo Almeida, Alexander Rush, Thomas Pierrot, Volodymyr Kuleshov

On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov, Nadav Dym

DeLLMa: Decision Making Under Uncertainty with Large Language Models Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Amin, Nate Gruver, Yilun Kuang, Yucen Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

Language Imbalance Driven Rewarding for Multilingual Self-improving Wen Yang, Junhong Wu, Chen Wang, Chengqing Zong, Jiajun Zhang

Learning Causal Alignment for Reliable Disease Diagnosis Mingzhou Liu, Ching-Wen Lee, Xinwei Sun, Xueqing Yu, YU QIAO, Yizhou Wang

One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment Christina Sartzetaki, Gemma Roig, Cees G Snoek, Iris Groen

Precedence-Constrained Winter Value for Effective Graph Data Valuation Hongliang Chi, Wei Jin, Charu Aggarwal, Yao Ma

D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement Yansong Peng, Hebei Li, Peixi Wu, Yueyi Zhang, Xiaoyan Sun, Feng Wu

Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power Lijia Yu, Yibo Miao, Yifan Zhu, XIAOSHAN GAO, Lijun Zhang

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang

CyberHost: A One-stage Diffusion Framework for Audio-driven Talking Body Generation Gaojie Lin, Jianwen Jiang, Chao Liang, Tianyun Zhong, Jiaqi Yang, Zerong Zheng, Yanbo Zheng

Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Qizhe Shieh

qNBO: quasi-Newton Meets Bilevel Optimization Sheng Fang, Yongjin Liu, Wei Yao, Chengming Yu, Jin Zhang

MagicPIG: LSH Sampling for Efficient LLM Generation Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Leon Bottou, Zhihao Jia, Beidi Chen

TRENDy: Temporal Regression of Effective Nonlinear Dynamics Matthew Ricci, Guy Pelc, Zoe Piran, Noa Moriel, Mor Nitzan

MM-EMBED: UNIVERSAL MULTIMODAL RETRIEVAL WITH MULTIMODAL LLMS Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping

ADMM for Nonconvex Optimization under Minimal Continuity Assumption Ganzhao Yuan

Artificial Kuramoto Oscillatory Neurons Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style Yantao Liu, Zijun Yao, Rui Min, Yixin Cao, Lei Hou, Juanzi Li

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models Ziqi Lu, Heng Yang, Danfei Xu, Boyi Li, Boris Ivanovic, Marco Pavone, Yue Wang

Synthetic continued pretraining Zitong Yang, Neil Band, Shuangping Li, Emmanuel Candes, Tatsunori Hashimoto

Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang

MixEval-X: Any-to-any Evaluations from Real-world Data Mixture Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Yuntian Deng, Andy Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Qizhe Shieh

Learning-Augmented Frequent Directions Anders Aamand, Justin Chen, Siddharth Gollapudi, Sandeep Silwal, Hao WU

TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann

ODE-based Smoothing Neural Network for Reinforcement Learning Tasks Yinuo Wang, Wenxuan Wang, Xujie Song, Tong Liu, Yuming Yin, Liangfa Chen, Likun Wang, Jingliang Duan, Shengbo Li

Learning system dynamics without forgetting Xikun ZHANG, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao

The Computational Complexity of Positive Non-Clashing Teaching in Graphs Robert Ganian, Liana Khazaliya, Fionn Mc Inerney, Mathis Rocton

DELTA: DENSE EFFICIENT LONG-RANGE 3D TRACKING FOR ANY VIDEO Tuan Ngo, Peiye Zhuang, Evangelos Kalogerakis, Chuang Gan, Sergey Tulyakov, Hsin-Ying Lee, Chaoyang Wang

Transformers Provably Solve Parity Efficiently with Chain of Thought Juno Kim, Taiji Suzuki

Failures to Find Transferable Image Jailbreaks Between Vision-Language Models Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristobal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, Tony Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez

Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics Ahana Deb, Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi

Autoregressive Video Generation without Vector Quantization Haoge Deng, Ting Pan, Haiwen Diao, Zhengxiong Luo, Yufeng Cui, Huchuan Lu, Shiguang Shan, Yonggang Qi, Xinlong Wang

Improving Reasoning Performance in Large Language Models via Representation Engineering Bertram Højer, Oliver Jarvis, Stefan Heinrich

Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An

Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering Yibo Zhang, Lihong Wang, Changqing Zou, Tieru Wu, Rui Ma

AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations Pei Zhou, Ruizhe Liu, Qian Luo, Fan Wang, Yibing Song, Yanchao Yang

ADAM Optimization with Adaptive Batch Selection Gyu Yeol Kim, Min-hwan Oh

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Shijie Liu, Andrew Cullen, Paul Montague, Sarah Erfani, Benjamin Rubinstein

Solving Differential Equations with Constrained Learning Viggo Moro, Luiz Chamon

Faster Cascades via Speculative Decoding Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar

DarkBench: Benchmarking Dark Patterns in Large Language Models Esben Kran, Hieu Minh Nguyen, Akash Kundu, Sami Jawhar, Jinsuk Park, Mateusz Jurewicz

Beyond Next Token Prediction: Patch-Level Training for Large Language Models Chenze Shao, Fandong Meng, Jie Zhou

Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making Jincheng Wang, Penny Karanasou, Pengyuan Wei, Elia Gatti, Diego Plasencia, Dimitrios Kanoulas

Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda, Ching-Chun Chang, Isao Echizen

ReCogLab: a framework testing relational reasoning & cognitive hypotheses on LLMs Andrew Liu, Henry Prior, Gargi Balasubramaniam, Rivka Moroshko, Amir Zait, Ilia Labzovsky, Danny Karmon, Ishita Dasgupta, Kimberly Stachenfeld, Kenneth Marino

Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka, Johannes Brunnemann, Jörg Eiden, Arne Speerforck, Lars Mikelsons

Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery Xiao Han, Saima Absar, Lu Zhang, Shuhan Yuan

Reward Learning from Multiple Feedback Types Yannick Metz, Andras Geiszl, Raphaël Baur, Mennatallah El-Assady

TLDR: Token-Level Detective Reward Model for Large Vision Language Models Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe

Control-oriented Clustering of Visual Latent Representation Han Qi, Haocheng Yin, Heng Yang

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang, Ruihong Qiu, Guangdong Bai, Zi Huang

Trusted Multi-View Classification via Evolutionary Multi-View Fusion Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu

Differentiable and Learnable Wireless Simulation with Geometric Transformers Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia (Kevin) Liu

Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization Hansi Yang, James Kwok

Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann

PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian, Wentao Yuan, Ranjay Krishna, Dieter Fox, Ajay Mandlekar, Yijie Guo

Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints Yuxuan Wu, Ziyu Wang, Bhiksha Raj, Gus Xia

Generative Representational Instruction Tuning Niklas Muennighoff, Hongjin SU, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela

Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models Francisco Eiras, Aleksandar Petrov, Philip Torr, M. Pawan Kumar, Adel Bibi

GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning Zulfikar Alom, Tran Gia Bao Ngo, Murat Kantarcioglu, Cuneyt Akcora

CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding Guo Chen, Yicheng Liu, Yifei Huang, Baoqi Pei, Jilan Xu, Yuping He, Tong Lu, Yali Wang, Limin Wang

InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling Muhammad Gohar Javed, chuan guo, Li Cheng, Xingyu Li

TexTailor: Customized Text-aligned Texturing via Effective Resampling Suin Lee, DAE SHIK KIM

What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits Harish Babu Manogaran, M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Caleb Charpentier, Josef Uyeda, Wasla Dahdul, Matthew Thompson, Elizabeth Campolongo, Kaiya Provost, Wei-Lun Chao, Tanya Berger-Wolf, Paula Mabee, Hilmar Lapp, Anuj Karpatne

Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Sebastian Scherer, Xiaonan Huang

Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen

Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation Chenbin Zhang, Zhiqiang Hu, Jiang Chuchu, Wen Chen, JIE XU, Shaoting Zhang

Deep MMD Gradient Flow without adversarial training Alexandre Galashov, Valentin De Bortoli, Arthur Gretton

World Model on Million-Length Video And Language With Blockwise RingAttention Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel

Multi-agent cooperation through learning-aware policy gradients Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake A Richards, Guillaume Lajoie, Blaise Aguera y Arcas, Joao Sacramento

DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, chunrui han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia

Expressivity of Neural Networks with Random Weights and Learned Biases Ezekiel Williams, Alexandre Payeur, Avery Ryoo, Thomas Jiralerspong, Matthew Perich, Luca Mazzucato, Guillaume Lajoie

Intermediate Layer Classifiers for OOD generalization Arnas Uselis, Seong Joon Oh

Aioli: A Unified Optimization Framework for Language Model Data Mixing Mayee Chen, Michael Hu, Nicholas Lourie, Kyunghyun Cho, Christopher Re

Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis Hyunwoo Lee, Hayoung Choi, Hyunju Kim

COPER: Correlation-based Permutations for Multi-View Clustering Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum

PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance Haohan Weng, Yikai Wang, Tong Zhang, C. L. Philip Chen, Jun Zhu

LoLCATs: On Low-Rank Linearizing of Large Language Models Michael Zhang, Simran Arora, Rahul Chalamala, Benjamin Spector, Alan Wu, Krithik Ramesh, Aaryan Singhal, Christopher Re

Matryoshka Multimodal Models Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee

Training Neural Networks as Recognizers of Formal Languages Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell

Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models Zhijian Zhuo, Ya Wang, Yutao Zeng, Xiaoqing Li, Xun Zhou, Jinwen Ma

Text2PDE: Latent Diffusion Models for Accessible Physics Simulation Anthony Zhou, Zijie Li, Michael Schneier, John Buchanan, Amir Barati Farimani

Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want Weifeng Lin, Xinyu Wei, Ruichuan An, Gao Peng, Bocheng Zou, Yulin Luo, Siyuan Huang, Shanghang Zhang, Hongsheng Li

ViSAGe: Video-to-Spatial Audio Generation Jaeyeon Kim, Heeseung Yun, Gunhee Kim

Looking Backward: Streaming Video-to-Video Translation with Feature Banks Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu

Privately Counting Partially Ordered Data Matthew Joseph, Mónica Ribero, Alexander Yu

C-CLIP: Multimodal Continual Learning for Vision-Language Model Wenzhuo Liu, Fei Zhu, Longhui Wei, Qi Tian

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers Ao Li, Wei Fang, Hongbo Zhao, Le Lu, Ge Yang, Minfeng Xu

CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit Bermano, Michiel van de Panne

Divergence of Neural Tangent Kernel in Classification Problems Zixiong Yu, Songtao Tian, Guhan Chen

Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos Yufan Zhou, Zhaobo Qi, Lingshuai Lin, Junqi Jing, Tingting Chai, Beichen Zhang, Shuhui Wang, Weigang Zhang

More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness Aaron J. Li, Satyapriya Krishna, Hima Lakkaraju

You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty

Interaction Asymmetry: A General Principle for Learning Composable Abstractions Jack Brady, Julius von Kügelgen, Sebastien Lachapelle, Simon Buchholz, Thomas Kipf, Wieland Brendel

Enhancing Language Model Agents using Diversity of Thoughts Vijay Chandra Lingam, Behrooz Tehrani, sujay sanghavi, Gaurav Gupta, Sayan Ghosh, Linbo Liu, Jun Huan, Anoop Deoras

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers Andrew Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Maggie Henderson, Leila Wehbe, Michael Tarr

DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints Xia Jiang, Yaoxin Wu, Chenhao Zhang, Yingqian Zhang

MuPT: A Generative Symbolic Music Pretrained Transformer Xingwei Qu, yuelin bai, Yinghao MA, Ziya Zhou, Ka Man Lo, JIAHENG LIU, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xeron Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Wenhao Huang, Jie Fu, Ge Zhang

Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou, Reda Alami, Ahmed Alzubaidi, Hakim Hacid

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter Wurman, Jaegul Choo, Peter Stone, Takuma Seno

Improving Graph Neural Networks by Learning Continuous Edge Directions Seong Ho Pahng, Sahand Hormoz

Rethinking Reward Modeling in Preference-based Large Language Model Alignment Hao Sun, Yunyi Shen, Jean-Francois Ton

Regularizing Energy among Training Samples for Out-of-Distribution Generalization Yiting Chen, Qitian Wu, Junchi Yan

Feature-Based Online Bilateral Trade Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Vianney Perchet

T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning Nabarun Goswami, Hanqin Wang, Tatsuya Harada

Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, patrick Gallinari

Learned Reference-based Diffusion Sampler for multi-modal distributions Maxence Noble, Louis Grenioux, Marylou Gabrié, Alain Oliviero Durmus

SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints Miruna Cretu, Charles Harris, Ilia Igashov, Arne Schneuing, Marwin Segler, Bruno Correia, Julien Roy, Emmanuel Bengio, Pietro Lio

MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer Yuancheng Wang, Haoyue Zhan, Liwei Liu, Ruihong Zeng, Haotian Guo, Jiachen Zheng, Qiang Zhang, Xueyao Zhang, Shunsi Zhang, Zhizheng Wu

Prioritized Generative Replay Ren Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei Efros

Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL Ghada Sokar, Johan S Obando Ceron, Aaron Courville, Hugo Larochelle, Pablo Samuel Castro

An Asynchronous Bundle Method for Distributed Learning Problems Daniel Cederberg, Xuyang Wu, Stephen Boyd, Mikael Johansson

Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning Gangwei Jiang, caigao jiang, Zhaoyi Li, Siqiao Xue, JUN ZHOU, Linqi Song, Defu Lian, Ying Wei

Learning to Discretize Denoising Diffusion ODEs Vinh Tong, Trung-Dung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert

Bilinear MLPs enable weight-based mechanistic interpretability Michael Pearce, Thomas Dooms, Alice Rigg, Jose Oramas, Lee Sharkey

Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z Li

Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang

Demystifying the Token Dynamics of Deep Selective State Space Models Thieu Vo, Duy-Tung Pham, Xin Tong, Tan Nguyen

Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects Tai Hoang, Huy Le, Philipp Becker, Vien A Ngo, Gerhard Neumann

A3D: Does Diffusion Dream about 3D Alignment? Savva Ignatyev, Nina Konovalova, Daniil Selikhanovych, Oleg Voinov, Nikolay Patakin, Ilya Olkov, Dmitry Senushkin, Alexey Artemov, Anton Konushin, Alexander Filippov, Peter Wonka, Evgeny Burnaev

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance Yaxi Lu, Shenzhi Yang, Cheng Qian, Guirong Chen, Qinyu Luo, Yesai Wu, Huadong Wang, Xin Cong, Zhong Zhang, Yankai Lin, Weiwen Liu, Yasheng Wang, Zhiyuan Liu, Fangming Liu, Maosong Sun

Training One-Dimensional Graph Neural Networks is NP-Hard Robert Ganian, Mathis Rocton, Simon Wietheger

Fundamental Limitations on Subquadratic Alternatives to Transformers Josh Alman, Hantao Yu

Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling Minhyuk Seo, Hyunseo Koh, Jonghyun Choi

Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho

kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers Themistoklis Haris

Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary Yuena Lin, Yiyuan Wang, Gengyu Lyu, Yongjian Deng, Haichun Cai, Huibin Lin, Haobo Wang, Zhen Yang

Offline Model-Based Optimization by Learning to Rank Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian

SymDiff: Equivariant Diffusion via Stochastic Symmetrisation Leo Zhang, Kianoosh Ashouritaklimi, Yee Whye Teh, Rob Cornish

Following the Human Thread in Social Navigation Luca Scofano, Alessio Sampieri, Tommaso Campari, Valentino Sacco, Indro Spinelli, Lamberto Ballan, Fabio Galasso

LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion Biao Zhang, Peter Wonka

On the Performance Analysis of Momentum Method: A Frequency Domain Perspective Xianliang Li, Jun Luo, Zhiwei Zheng, Hanxiao Wang, Li Luo, Lingkun Wen, Linlong Wu, Sheng Xu

Data Center Cooling System Optimization Using Offline Reinforcement Learning Xianyuan Zhan, Xiangyu Zhu, Peng Cheng, Xiao Hu, Ziteng He, Hanfei Geng, Jichao Leng, Huiwen Zheng, Chenhui Liu, Tianshun Hong, Yan Liang, Yunxin Liu, Feng Zhao

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages Xiang Yue, Yueqi Song, Akari Asai, Seungone Kim, JEAN NYANDWI, Simran Khanuja, Anjali Kantharuban, Lintang Sutawika, Sathyanarayanan Ramamoorthy, Graham Neubig

Handling Delay in Real-Time Reinforcement Learning Ivan Anokhin, Rishav Rishav, Matt Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou

Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions Piotr Indyk, Michael Kapralov, Kshiteej Jitesh Sheth, Tal Wagner

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi

Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Avantika Lal, Tommi Jaakkola, Sergey Levine, Aviv Regev, Hanchen Wang, Tommaso Biancalani

Unsupervised Model Tree Heritage Recovery Eliahu Horwitz, Asaf Shul, Yedid Hoshen

MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu, Hongyang Gao

CTSyn: A Foundation Model for Cross Tabular Data Generation Xiaofeng Lin, Chenheng Xu, Matthew Yang, Guang Cheng

Image-level Memorization Detection via Inversion-based Inference Perturbation Yue Jiang, Haokun Lin, Yang Bai, Bo Peng, Zhili Liu, Yueming Lyu, Yong Yang, Xingzheng, Jing Dong

On the Completeness of Invariant Geometric Deep Learning Models Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang

Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs Qi Wu, Yubo Zhao, Yifan Wang, Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang

From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter Jansen, Ben Van Durme, Peter Clark

Duoduo CLIP: Efficient 3D Understanding with Multi-View Images Han-Hung Lee, Yiming Zhang, Angel Chang

REEF: Representation Encoding Fingerprints for Large Language Models Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao

GraphArena: Evaluating and Exploring Large Language Models on Graph Computation Jianheng Tang, Qifan Zhang, Yuhan Li, Nuo Chen, Jia Li

When narrower is better: the narrow width limit of Bayesian parallel branching neural networks Zechen Zhang, Haim Sompolinsky

Stable Segment Anything Model Qi Fan, Xin Tao, Lei Ke, Mingqiao Ye, Di ZHANG, Pengfei Wan, Yu-Wing Tai, Chi-Keung Tang

BingoGuard: LLM Content Moderation Tools with Risk Levels Fan Yin, Philippe Laban, XIANGYU PENG, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu

Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction Junyi Chen, Di Huang, Weicai Ye, Wanli Ouyang, Tong He

PaPaGei: Open Foundation Models for Optical Physiological Signals Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh

PRDP: Progressively Refined Differentiable Physics Kanishk Bhatia, Felix Koehler, Nils Thuerey

SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction Yang Zhou, Hao Shao, Letian Wang, Steven Waslander, Hongsheng Li, Yu Liu

DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery Yuanpei Liu, Kai Han

DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang

Param$\Delta$ for Direct Mixing: Post-Train Large Language Model At Zero Cost Sheng Cao, Mingrui Wu, Karthik Prasad, Yuandong Tian, Zechun Liu

Decoupled Subgraph Federated Learning Javad Aliakbari, Johan Östman, Alexandre Graell i Amat

HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction Shengji Tang, Weicai Ye, Peng Ye, Weihao Lin, Yang Zhou, Tao Chen, Wanli Ouyang

Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

Transformers Handle Endogeneity in In-Context Linear Regression Haodong Liang, Krishna Balasubramanian, Lifeng Lai

Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong

Injective flows for star-like manifolds Marcello Negri, Jonathan Aellen, Volker Roth

MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation Trung X. Pham, Tri Ton, Chang Yoo

GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data Zhiteng Li, Lele Chen, Jerone Andrews, Yunhao Ba, Yulun Zhang, Alice Xiang

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Qingmao Yao, Zhichao Lei, Tianyuan Chen, Ziyue Yuan, Xuefan Chen, Jianxiang Liu, Faguo Wu, Xiao Zhang

MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions Jian Wu, Linyi Yang, Dongyuan Li, Yuliang Ji, Manabu Okumura, Yue Zhang

Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini

Storybooth: Training-Free Multi-Subject Consistency for Improved Visual Storytelling Jaskirat Singh, Junshen K Chen, Jonas Kohler, Michael Cohen

Efficient Reinforcement Learning with Large Language Model Priors Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou Ammar, Jun Wang

Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas Barrett, Juan Jose Garau-Luis, Paul Duckworth

Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems Zhenting Qi, Hanlin Zhang, Eric P Xing, Sham Kakade, Hima Lakkaraju

The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs HONG LI, Nanxi Li, Yuanjie Chen, Jianbin Zhu, Qinlu Guo, Cewu Lu, Yong-Lu Li

Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang, Biwei Huang

RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval Kaiyue Wen, Xingyu Dang, Kaifeng Lyu

PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin, Xiaodan Liang

Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations Indradyumna Roy, Eeshaan Jain, Soumen Chakrabarti, Abir De

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval Hongjin SU, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Liu Haisu, Quan Shi, Zachary Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Arik, Danqi Chen, Tao Yu

Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Mathieu Chevalley, Patrick Schwab, Arash Mehrjou

SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu

Approximation algorithms for combinatorial optimization with predictions Antonios Antoniadis, Marek Elias, Adam Polak, Moritz Venzin

Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting Chong Cheng, Gaochao Song, Yiyang Yao, Qinzheng Zhou, Gangjian Zhang, Hao Wang

Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete

STAR: Stability-Inducing Weight Perturbation for Continual Learning Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer Dy

A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan, Min-Hsiu Hsieh

Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation Satoki Ishikawa, Rio Yokota, Ryo Karakida

Equivariant Masked Position Prediction for Efficient Molecular Representation Junyi An, Chao Qu, Yun-Fei Shi, XinHao Liu, Qianwei Tang, Fenglei Cao, Yuan Qi

Generalized Video Moment Retrieval Qin You, Qilong Wu, Yicong Li, Wei Ji, Li Li, Pengcheng Cai, Lina Wei, Roger Zimmermann

GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion Xiaojian Lin, Hanhui Li, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang

Erasing Concept Combination from Text-to-Image Diffusion Model hongyi nie, Quanming Yao, Yang Liu, Zhen Wang, Yatao Bian

X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios Yichen Xie, Chenfeng Xu, Chensheng Peng, Shuqi Zhao, Nhat Ho, Alexander Pham, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan

Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang

An Auditing Test to Detect Behavioral Shift in Language Models Leo Richter, Xuanli He, Pasquale Minervini, Matt Kusner

Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng

S4M: S4 for multivariate time series forecasting with Missing values Jing Peng, Meiqi Yang, Qiong Zhang, Xiaoxiao Li

Scaling Speech-Text Pre-training with Synthetic Interleaved Data Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, shengmin jiang, Yuxiao Dong, Jie Tang

A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten, Stephan Günnemann, Leo Schwinn

High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders Siddharth Ramchandran, Manuel Haussmann, Harri Lähdesmäki

NextBestPath: Efficient 3D Mapping of Unseen Environments Shiyao Li, Antoine Guedon, Clémentin Boittiaux, Shizhe Chen, Vincent Lepetit

A Closer Look at Machine Unlearning for Large Language Models Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin

Preference Elicitation for Offline Reinforcement Learning Alizée Pace, Bernhard Schölkopf, Gunnar Ratsch, Giorgia Ramponi

DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo Junzhe Zhu, Yuanchen Ju, Junyi Zhang, Muhan Wang, Zhecheng Yuan, Kaizhe Hu, Huazhe Xu

I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength Wanquan Feng, Jiawei Liu, Pengqi Tu, Tianhao Qi, Mingzhen Sun, Tianxiang Ma, Songtao Zhao, SiYu Zhou, Qian HE

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, Dongmei Zhang

Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng

PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows Huaguan Chen, Yang Liu, Hao Sun

Machine Unlearning via Simulated Oracle Matching Kristian G Georgiev, Roy Rinberg, Sam Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel

Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond Costin-Andrei Oncescu, Sanket Jayant Purandare, Stratos Idreos, Sham Kakade

Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen, Lixuan Jin, Pengyuan Wang, Zhilong Zhang, Yang Yu

Shedding Light on Time Series Classification using Interpretability Gated Networks Yunshi Wen, Tengfei Ma, Ronny Luss, Debarun Bhattacharjya, Achille Fokoue, Anak Agung Julius

HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS Armand Foucault, Francois Malgouyres, Franck Mamalet

GeoLoRA: Geometric integration for parameter efficient fine-tuning Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch

Does Training with Synthetic Data Truly Protect Privacy? Yunpeng Zhao, Jie Zhang

Large Language Models Assume People are More Rational than We Really are Ryan Liu, Jiayi Geng, Joshua Peterson, Ilia Sucholutsky, Thomas L. Griffiths

OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer Jinyang Li, En Yu, Sijia Chen, Wenbing Tao

Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data Xinyi Wang, Antonis Antoniades, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Wang

Local Patterns Generalize Better for Novel Anomalies Yalong Jiang

COMBO: Compositional World Models for Embodied Multi-Agent Cooperation Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Behzad Dariush, Kwonjoon Lee, Yilun Du, Chuang Gan

PolaFormer: Polarity-aware Linear Attention for Vision Transformers Weikang Meng, Yadan Luo, Xin Li, Dongmei Jiang, Zheng Zhang

ContraDiff: Planning Towards High Return States via Contrastive Learning Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin

MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences Canyu Zhao, Mingyu Liu, Wen Wang, Weihua Chen, Fan Wang, Hao Chen, Bo Zhang, Chunhua Shen

Examining Alignment of Large Language Models through Representative Heuristics: the case of political stereotypes Sullam Jeoung, Yubin Ge, Haohan Wang, Jana Diesner

MatExpert: Decomposing Materials Discovery By Mimicking Human Experts Qianggang Ding, Santiago Miret, Bang Liu

Data Pruning by Information Maximization Haoru Tan, Sitong Wu, Wei Huang, Shizhen Zhao, XIAOJUAN QI

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Yeoreum Lee, Jinwook Jung, Sungyong Baik

Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis Weiwei Lin, Chenhang HE

Learning Equivariant Non-Local Electron Density Functionals Nicholas Gao, Eike Eberhard, Stephan Günnemann

Palu: KV-Cache Compression with Low-Rank Projection Chi-Chih Chang, Wei-Cheng Lin, Chien-Yu Lin, Chong-Yan Chen, Yu-Fang Hu, Pei-Shuo Wang, Ning-Chi Huang, Luis Ceze, Mohamed Abdelfattah, Kai-Chiang Wu

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li

Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting Suraj Anand, Michael Lepori, Jack Merullo, Ellie Pavlick

Learning local equivariant representations for quantum operators YinZhangHao Zhou, Zixi Gan, Shishir Pandey, Linfeng Zhang, QIANGQIANG GU

Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning Bo Yue, Shufan Wang, Ashish Gaurav, Jian Li, Pascal Poupart, Guiliang Liu

DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance Liang Sun, Yang Zhang, Weizhao He, Jiajun Wen, Linlin Shen, Weicheng Xie

Topological Schrödinger Bridge Matching Maosheng Yang

Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model Keda TAO, Jinjin Gu, Yulun Zhang, Xiucheng Wang, Nan Cheng

STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Peter Karkus, Danfei Xu, Yue Wang, Marco Pavone

MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, James Aung, Dane Sherburn, Evan Mays, Giulio Starace, Kevin Liu, Leon Maksin, Tejal Patwardhan, Aleksander Madry, Lilian Weng

Tree of Attributes Prompt Learning for Vision-Language Models Tong Ding, Wanhua Li, Zhongqi Miao, Hanspeter Pfister

Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features Daeho Um, Yoonji Lee, Jiwoong Park, Seulki Park, Yuneil Yeo, Seong Jin Ahn

Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk, Jimmy Di, Yiwei Lu, Gautam Kamath, Ayush Sekhari, Seth Neel

Information Theoretic Text-to-Image Alignment Chao Wang, Giulio Franzese, alessandro finamore, Massimo Gallo, Pietro Michiardi

Simplifying, Stabilizing and Scaling Continuous-time Consistency Models Cheng Lu, Yang Song

Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergul Aydore

BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP Hao Yuan, wenli ouyang, Changwen Zhang, Yong Sun, Liming Gong, Junchi Yan

Advancing Prompt-Based Methods for Replay-Independent General Continual Learning Zhiqi KANG, Liyuan Wang, Xingxing Zhang, Karteek Alahari

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models Marianne Arriola, Aaron Gokaslan, Justin Chiu, Zhihan Yang, Zhixuan Qi, Jiaqi Han, Subham Sahoo, Volodymyr Kuleshov

Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression Shuang Liang, Guido Montufar

Natural Language Inference Improves Compositionality in Vision-Language Models Paola Cascante-Bonilla, Yu (Hope) Hou, Yang Cao, Hal Daumé III, Rachel Rudinger

MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts Peng Jin, Bo Zhu, Yuan Li, Shuicheng YAN

Extendable and Iterative Structure Learning Strategy for Bayesian Networks Hamid Kalantari, Russell Greiner, Pouria Ramazi

OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition Stephen Zhang, Vardan Papyan

Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher

Presto! Distilling Steps and Layers for Accelerating Music Generation Zachary Novack, Ge Zhu, Jonah Casebeer, Julian McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan

Composable Interventions for Language Models Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen

Tool-Planner: Task Planning with Clusters across Multiple Tools Yanming Liu, Xinyue Peng, Jiannan Cao, S, Yuwei Zhang, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du

Deep Random Features for Scalable Interpolation of Spatiotemporal Data Weibin Chen, Azhir Mahmood, Michel Tsamados, So Takao

Advancing Out-of-Distribution Detection via Local Neuroplasticity Alessandro Canevaro, Julian Schmidt, Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan

Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models Pit Neitemeier, Björn Deiseroth, Constantin Eichenberg, Lukas Balles

DSPO: Direct Score Preference Optimization for Diffusion Model Alignment Huaisheng Zhu, Teng Xiao, Vasant Honavar

(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning Margaret Li, Sneha Kudugunta, Luke Zettlemoyer

To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation Wanlin Zhang, Weichen Lin, Ruomin Huang, Shihong Song, Hu Ding

On the Feature Learning in Diffusion Models Andi Han, Wei Huang, Yuan Cao, Difan Zou

JudgeLM: Fine-tuned Large Language Models are Scalable Judges Lianghui Zhu, Xinggang Wang, Xinlong Wang

High-dimension Prototype is a Better Incremental Object Detection Learner Yanjie Wang, Liqun Chen, Tianming Zhao, Tao Zhang, Guodong Wang, Luxin Yan, Sheng Zhong, Jiahuan Zhou, Xu Zou

Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj, Rui Hou, Nayan Singhal, Hongjiang Lv, Bing Liu

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip Yu, Meng Cao

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers Yiwen Chen, Tong He, Di Huang, Weicai Ye, Sijin Chen, Jiaxiang Tang, Zhongang Cai, Lei Yang, Gang Yu, Guosheng Lin, Chi Zhang

Infinite-Resolution Integral Noise Warping for Diffusion Models Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan Burgert, Ning Yu, Vincent Dedun, Mohammad Taghavi

Episodic Memories Generation and Evaluation Benchmark for Large Language Models Alexis Huet, Zied Houidi, Dario Rossi

Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed Mohamed Abdelmoniem Sayed, Mohamed Elhoseiny, Marco Canini

PPT: Patch Order Do Matters In Time Series Pretext Task Jaeho Kim, Kwangryeol Park, Sukmin Yun, Seulki Lee

CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design Wenji Fang, Shang Liu, Jing Wang, Zhiyao Xie

Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu

Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses David Glukhov, Ziwen Han, I Shumailov, Vardan Papyan, Nicolas Papernot

Framer: Interactive Frame Interpolation Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen, Biao Gong, Hao Chen, Yujun Shen, Chunhua Shen

KBLaM: Knowledge Base augmented Language Model Xi Wang, Taketomo Isazawa, Liana Mikaelyan, James Hensman

Improving Deep Regression with Tightness Shihao Zhang, Yuguang Yan, Angela Yao

VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation Wei Zhao, Pengxiang Ding, Zhang Min, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang

Efficient Evolutionary Search Over Chemical Space with Large Language Models Haorui Wang, Marta Skreta, Cher-Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alan Aspuru-Guzik, Kirill Neklyudov, Chao Zhang

Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard E Turner

ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim H Lee

On Disentangled Training for Nonlinear Transform in Learned Image Compression Han Li, Shaohui Li, Wenrui Dai, Maida Cao, Nuowen Kan, Chenglin Li, Junni Zou, Hongkai Xiong

What's the Move? Hybrid Imitation Learning via Salient Points Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh

Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Guangsheng Bao, Yanbin Zhao, Juncai He, Yue Zhang

Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction Huawen Feng, ZekunYao, Junhao Zheng, Qianli Ma

Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising Zhengwei Yin, Hongjun Wang, Guixu Lin, Weihang Ran, Yinqiang Zheng

How Feature Learning Can Improve Neural Scaling Laws Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan

Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He

Addressing Label Shift in Distributed Learning via Entropy Regularization Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao, Volkan Cevher, Ali Ramezani-Kebrya

Scaling Transformers for Low-Bitrate High-Quality Speech Coding Julian Parker, Anton Smirnov, Jordi Pons, CJ Carr, Zack Zukowski, Zach Evans, Xubo Liu

DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors Keon Lee, Dong Won Kim, Jaehyeon Kim, Seungjun Chung, Jaewoong Cho

Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance Qijun Gan, Song Wang, Shengtao Wu, Jianke Zhu

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio

GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation Dingdong Yang, Yizhi Wang, Konrad Schindler, Ali Mahdavi Amiri, Hao Zhang

Generator Matching: Generative modeling with arbitrary Markov processes Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman

TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation haiyang liu, Xingchao Yang, Tomoya Akiyama, Yuantian Huang, Qiaoge Li, Shigeru Kuriyama, Takafumi Taketomi

Generating CAD Code with Vision-Language Models for 3D Designs Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi, Megan Langwasser, Wei Xu, Matthew Gombolay

FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine Shannon How, Jagmohan Chauhan, Geoff Merrett, Jonathon Hare

Biologically Plausible Brain Graph Transformer Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin

GenEx: Generating an Explorable World TaiMing Lu, Tianmin Shu, Alan Yuille, Daniel Khashabi, Jieneng Chen

Learning Chaos In A Linear Way Xiaoyuan Cheng, Yi He, Yiming Yang, Xiao Xue, Sibo Cheng, Daniel Giles, Xiaohang Tang, Yukun Hu

Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang

VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang

A deep inverse-mapping model for a flapping robotic wing Hadar Sharvit, Raz Karl, Tsevi Beatus

ImageFolder: Autoregressive Image Generation with Folded Tokens Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin

GOAL: A Generalist Combinatorial Optimization Agent Learner Darko Drakulić, Sofia Michel, Jean-Marc Andreoli

DynaPrompt: Dynamic Test-Time Prompt Tuning Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Qi Wang, Cees G Snoek

MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks Carlo Abate, Filippo Maria Bianchi

Boosting Methods for Interval-censored Data with Regression and Classification Yuan Bian, Grace Yi, Wenqing He

AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang

A Coefficient Makes SVRG Effective Yida Yin, Zhiqiu Xu, Zhiyuan Li, trevor darrell, Zhuang Liu

An Empirical Analysis of Uncertainty in Large Language Model Evaluations Qiujie Xie, Qingqiu Li, Zhuohao Yu, Yuejie Zhang, Yue Zhang, Linyi Yang

IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model Yatai Ji, Shilong Zhang, Jie Wu, Peize Sun, Weifeng Chen, Xuefeng Xiao, Sidi Yang, Yujiu Yang, Ping Luo

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan Tran, David Hall, Cheongwoong Kang, Jaesik Choi

Inverse Constitutional AI: Compressing Preferences into Principles Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Samuel Albanie, Robert Mullins

Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation Sijia Zhang, Shuli Zeng, Shaoang Li, Feng Wu, Xiangyang Li

Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Shinji Watanabe

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation Shengjie Ma, Chengjin Xu, Xuhui Jiang, Muzhi Li, Huaren Qu, Cehao Yang, Jiaxin Mao, Jian Guo

For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthu Chidambaram, Rong Ge

Binary Losses for Density Ratio Estimation Werner Zellinger

Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models Hualin Zhang, Haozhen Zhang, Zhekai Liu, Bin Gu, Yi Chang

Shallow diffusion networks provably learn hidden low-dimensional structure Nicholas Boffi, Arthur Jacot, Stephen Tu, Ingvar Ziemann

Monte Carlo Planning with Large Language Model for Text-Based Game Agents Zijing Shi, Meng Fang, Ling Chen

Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu

CipherPrune: Efficient and Scalable Private Transformer Inference Yancheng Zhang, Jiaqi Xue, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, Qian Lou

Offline Hierarchical Reinforcement Learning via Inverse Optimization Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues

Subgraph Federated Learning for Local Generalization Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park

Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang, Biwei Huang, Fan Feng, Xinyue Wang, Shikui Tu, Lei Xu

Steering Protein Family Design through Profile Bayesian Flow Jingjing Gong, Yu Pei, Siyu Long, Yuxuan Song, Zhe Zhang, Wenhao Huang, Ziyao Cao, Shuyi Zhang, Hao Zhou, Wei-Ying Ma

SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback Jingsheng Gao, Linxu Li, Ke Ji, Weiyuan Li, Yixin Lian, yuzhuo fu, Bin Dai

Residual-MPPI: Online Policy Customization for Continuous Control Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan

Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning Xiaolei Wang, Xinyu Tang, Junyi Li, Xin Zhao, Ji-Rong Wen

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Maxwell Xu, Jaya Narain, Gregory Darnell, Haraldur Hallgrimsson, Hyewon Jeong, Darren Forde, Richard Fineman, Karthik Raghuram, James Rehg, Shirley Ren

Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang

ICLR: In-Context Learning of Representations Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token Shaolei Zhang, Qingkai Fang, Yang, Yang Feng

Coreset Spectral Clustering Ben Jourdan, Gregory Schwartzman, Peter Macgregor, He Sun

Context-aware Dynamic Pruning for Speech Foundation Models Masao Someki, Yifan Peng, Siddhant Arora, Markus Müller, Athanasios Mouchtaris, Grant Strimel, Jing Liu, Shinji Watanabe

CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets feng yan, Weixin Luo, Yujie Zhong, Yiyang Gan, Lin Ma

A Solvable Attention for Neural Scaling Laws Bochen Lyu, Di Wang, Zhanxing Zhu

Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing Diaaeldin Taha, James Chapman, Marzieh Eidi, Karel Devriendt, Guido Montufar

Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization Yuchen Sun, Kejun Huang

DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal

Accelerating Task Generalisation with Multi-Level Skill Hierarchies Thomas Cannon, Özgür Şimşek

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling Liliang Ren, Yang Liu, Yadong Lu, yelong shen, Chen Liang, Weizhu Chen

LICO: Large Language Models for In-Context Molecular Optimization Tung Nguyen, Aditya Grover

Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection Hongru Yan, Yu Zheng, Yueqi Duan

Sparse Autoencoders Do Not Find Canonical Units of Analysis Patrick Leask, Bart Bussmann, Michael Pearce, Joseph Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models? Seongyun Lee, Geewook Kim, Jiyeon Kim, Hyunji Lee, Hoyeon Chang, Sue Park, Minjoon Seo

Robustness Reprogramming for Representation Learning Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu

The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities Zhaofeng Wu, Xinyan Yu, Dani Yogatama, Jiasen Lu, Yoon Kim

Learn hybrid prototypes for multivariate time series anomaly detection Ke-Yuan Shen

Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde, Maximilian Dreyer, Moritz Weckbecker, Leander Weber, Christopher J. Anders, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control Carles Domingo i Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen

Unifying Causal Representation Learning with the Invariance Principle Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello

Tight Clusters Make Specialized Experts Stefan Nielsen, Rachel Teo, Laziz Abdullaev, Tan Nguyen

Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios Hongwei Wen, Annika Betken, Hanyuan Hang

Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Yufa Zhou

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images Botao Ye, Sifei Liu, Haofei Xu, Xueting Li, Marc Pollefeys, Ming-Hsuan Yang, Songyou Peng

DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life Yu Ying Chiu, Liwei Jiang, Yejin Choi

StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces Kyeongmin Yeo, Jaihoon Kim, Minhyuk Sung

Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets Yudong Chen, Xuwei Xu, Frank de Hoog, Jiajun Liu, Sen Wang

Probabilistic Geometric Principal Component Analysis with application to neural data Han-Lin Hsieh, Maryam Shanechi

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models Michael Aerni, Javier Rando, Edoardo Debenedetti, Nicholas Carlini, Daphne Ippolito, Florian Tramer

Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation Chengwen Qi, Ren Ma, Bowen Li, he du, Binyuan Hui, Jinwang Wu, Yuanjun Laili, Conghui He

Second Order Bounds for Contextual Bandits with Function Approximation Aldo Pacchiano

Bootstrapped Model Predictive Control Yuhang Wang, Hanwei Guo, Sizhe Wang, Long Qian, Xuguang Lan

PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition Jie Wang, Tingfa Xu, Lihe Ding, Xinjie Zhang, Long Bai, Jianan Li

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang

How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings Samuel Audia, Soheil Feizi, Matthias Zwicker, Dinesh Manocha

Causal Discovery via Bayesian Optimization Bao Duong, Sunil Gupta, Thin Nguyen

Progressive Parameter Efficient Transfer Learning for Semantic Segmentation Nan Zhou, Huiqun Wang, Yaoyan Zheng, Di Huang

MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji

Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries Hang Chen, Chufeng Tang, Xiao Li, Xiaolin Hu

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters YUJIE MO, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

Towards Marginal Fairness Sliced Wasserstein Barycenter Khai Nguyen, Hai Nguyen, Nhat Ho

Logically Consistent Language Models via Neuro-Symbolic Integration Diego Calanzone, Stefano Teso, Antonio Vergari

Training Language Models to Self-Correct via Reinforcement Learning Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, JD Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal Behbahani, Aleksandra Faust

Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness Michael Crawshaw, Mingrui Liu

Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge Aparna Elangovan, Lei Xu, Jongwoo Ko, Mahsa Elyasi, Ling Liu, Sravan Babu Bodapati, Dan Roth

What should a neuron aim for? Designing local objective functions based on information theory Andreas C. Schneider, Valentin Neuhaus, David Ehrlich, Abdullah Makkeh, Alexander S Ecker, Viola Priesemann, Michael Wibral

STAMP: Scalable Task- And Model-agnostic Collaborative Perception Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu

UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen

Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits Yuta Natsubori, Masataka Ushiku, Yuta Saito

Scale-aware Recognition in Satellite Images under Resource Constraints Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Kumar Mall, Bharath Hariharan, Kavita Bala

PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu

Why Does the Effective Context Length of LLMs Fall Short? Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong

Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning Yichi Zhang, Zhuo Chen, Lingbing Guo, yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

Large Language Models are Interpretable Learners Ruochen Wang, Si Si, Felix Yu, Dorothea Rothuizen, Cho-Jui Hsieh, Inderjit Dhillon

Learning View-invariant World Models for Visual Robotic Manipulation Jing-Cheng Pang, Nan Tang, Kaiyuan Li, Yuting Tang, Xin-Qiang Cai, Zhen-Yu Zhang, Gang Niu, Masashi Sugiyama, Yang Yu

Data Scaling Laws in Imitation Learning for Robotic Manipulation Fanqi Lin, Yingdong Hu, Pingyue Sheng, Chuan Wen, Jiacheng You, Yang Gao

Safety Alignment Should be Made More Than Just a Few Tokens Deep Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, WeiHsiang Liao, Shao-Hua Sun, Yuki Mitsufuji

On the Benefits of Memory for Modeling Time-Dependent PDEs Ricardo Buitrago Ruiz, Tanya Marwah, Albert Gu, Andrej Risteski

ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts Yuanchen Wu, Junlong Du, Ke Yan, Shouhong Ding, Xiaoqiang Li

Discriminating image representations with principal distortions Jenelle Feather, David Lipshutz, Sarah Harvey, Alex Williams, Eero Simoncelli

MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models Jingwei Xu, Junyu Lai, Yunpeng Huang

Towards Realistic Data Generation for Real-World Super-Resolution Long Peng, Wenbo Li, Renjing Pei, Jingjing Ren, Jiaqi Xu, Yang Wang, Yang Cao, Zheng-Jun Zha

Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems jindong tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang

Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng, Ricardo Baptista, Katherine Bouman

Learning to Communicate Through Implicit Communication Channels Han Wang, Binbin Chen, zhang, Baoxiang Wang

OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup Xize Cheng, Siqi Zheng, zehan wang, Minghui Fang, Ziang Zhang, Rongjie Huang, Shengpeng Ji, Jialong Zuo, Tao Jin, Zhou Zhao

Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards Zhaohui JIANG, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma GongQue, Jianing Yu, Qiuna Tan, Weiran Xu

On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson, Nadav Dym

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen

Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li

KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge Belongie

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals Wei-Bang Jiang, Yansen Wang, Bao-liang Lu, Dongsheng Li

Deconstructing Denoising Diffusion Models for Self-Supervised Learning Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He

Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation Tengfei Ma, Xiang song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Yijun Wang, Bosheng Song, Xiangxiang Zeng

Matérn Kernels for Tunable Implicit Surface Reconstruction Maximilian Weiherer, Bernhard Egger

Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions Wei Yao, Haian Yin, Shangzhi Zeng, Jin Zhang

How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning Yao Tong, Jiayuan Ye, Sajjad Zarifzadeh, Reza Shokri

Adding Conditional Control to Diffusion Models with Reinforcement Learning Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Sunyuan Kung, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali

See It from My Perspective: How Language Affects Cultural Bias in Image Understanding Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown

A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization Aron Brenner, Rahman Khorramfar, Jennifer Sun, Saurabh Amin

Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games Boning Li, Longbo Huang

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li

Herald: A Natural Language Annotated Lean 4 Dataset Guoxiong Gao, Yutong Wang, Jiedong Jiang, Qi Gao, Zihan Qin, Tianyi Xu, Bin Dong

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li

Improving Instruction-Following in Language Models through Activation Steering Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang

DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim

Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning Yan Scholten, Stephan Günnemann

Bootstrapping Language Models with DPO Implicit Rewards Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Donglei Yu, Yang Zhao, Jie Zhu, Yangyifan Xu, Yu Zhou, Chengqing Zong

Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov

Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos Dayal Singh Kalra, Tianyu He, Maissam Barkeshli

Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui SHI, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai

SplatFormer: Point Transformer for Robust 3D Gaussian Splatting Yutong Chen, Marko Mihajlovic, Xiyi Chen, Yiming Wang, Sergey Prokudin, Siyu Tang

Meta-Continual Learning of Neural Fields Seungyoon Woo, Junhyeog Yun, Gunhee Kim

Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models Keisuke Kamahori, Tian Tang, Yile Gu, Kan Zhu, Baris Kasikci

Online-to-Offline RL for Agent Alignment Xu Liu, Haobo Fu, Stefano V. Albrecht, QIANG FU, Shuai Li

Concept Bottleneck Language Models For Protein Design Aya Ismail, Tuomas Oikarinen, Amy Wang, Julius Adebayo, Samuel Stanton, Hector Corrada Bravo, Kyunghyun Cho, Nathan Frey

PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders Tianyu Xie, David Harry Tyensoung Richman, Jiansi Gao, Frederick A Matsen, Cheng Zhang

Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim, Giung Nam, Chulhee Yun, Hongseok Yang, Juho Lee

Streamlining Prediction in Bayesian Deep Learning Rui Li, Marcus Klasson, Arno Solin, Martin Trapp

Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

Many-Objective Multi-Solution Transport Ziyue Li, Tian Li, Virginia Smith, Jeff Bilmes, Tianyi Zhou

Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Marc T Law, Xiaowen Dong, Michael Bronstein

Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Hoang Khoi Nguyen Do, Truc Nguyen, Malik Hassanaly, Raed Alharbi, Jung Seo, My Thai

Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error Ally Du, Lin Yang, Ruosong Wang

Do Large Language Models Truly Understand Geometric Structures? Xiaofeng Wang, Yiming Wang, Wenhong Zhu, Rui Wang

SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation Jaehong Yoon, Shoubin Yu, Vaidehi Ramesh Patil, Huaxiu Yao, Mohit Bansal

Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition Yufan Hu, Jiang, Wuyang Li, Yixuan Yuan

Bayesian Optimization via Continual Variational Last Layer Training Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Yingnian Wu, Tong Geng

SegLLM: Multi-round Reasoning Segmentation with Large Language Models Xudong Wang, Shaolun Zhang, Shufan Li, Kehan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, trevor darrell

HelpSteer2-Preference: Complementing Ratings with Preferences Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong

Fair Submodular Cover Wenjing Chen, Shuo Xing, Samson Zhou, Victoria Crawford

Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image Kennard Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin

GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting Junzhe Jiang, Chun Gu, Yurui Chen, Li Zhang

MrT5: Dynamic Token Merging for Efficient Byte-level Language Models Julie Kallini, Shikhar Murty, Christopher Manning, Christopher Potts, Róbert Csordás

EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents Junting Chen, Checheng Yu, Xunzhe Zhou, Tianqi Xu, Yao Mu, Mengkang Hu, Wenqi Shao, Yikai Wang, Guohao Li, Lin Shao

ThinK: Thinner Key Cache by Query-Driven Pruning Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo

CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves

DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models Kaishen Wang, Hengrui Gu, Meijun Gao, Kaixiong Zhou

On the Almost Sure Convergence of the Stochastic Three Points Algorithm Taha EL BAKKALI EL KADI, Omar Saadi

Provably Safeguarding a Classifier from OOD and Adversarial Samples Nicolas Atienza, Johanne Cohen, Christophe Labreuche, Michele Sebag

A Theory of Initialisation's Impact on Specialisation Devon Jarvis, Sebastian Lee, Clementine Domine, Andrew Saxe, Stefano Sarao Mannelli

Point-SAM: Promptable 3D Segmentation Model for Point Clouds Yuchen Zhou, Jiayuan Gu, Tung Chiang, Fanbo Xiang, Hao Su

RB-Modulation: Training-Free Stylization using Reference-Based Modulation Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach Qian Chen, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi

High-quality Text-to-3D Character Generation with SparseCubes and Sparse Transformers. Jiachen Qian, Hongye Yang, Shuang Wu, Jingxi Xu, Feihu Zhang

CREAM: Consistency Regularized Self-Rewarding Language Models Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao

Dense Video Object Captioning from Disjoint Supervision Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid

Can Watermarks be Used to Detect LLM IP Infringement For Free? Zhengyue Zhao, Xiaogeng Liu, Somesh Jha, Patrick McDaniel, Bo Li, Chaowei Xiao

Optimal Brain Apoptosis Mingyuan Sun, Zheng Fang, Jiaxu Wang, Junjie Jiang, Delei Kong, Chenming Hu, Yuetong FANG, Renjing Xu

ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chen-Wei Xie, Yu Liu, Jingren Zhou

Track-On: Transformer-based Online Point Tracking with Memory Görkay Aydemir, Xiongyi Cai, Weidi Xie, Fatma Guney

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter

Towards Interpreting Visual Information Processing in Vision-Language Models Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez

Probabilistic Language-Image Pre-Training Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun

Vision and Language Synergy for Rehearsal Free Continual Learning Muhammad Anwar Masum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, H Habibullah, Ryszard Kowalczyk

h4rm3l: A Language for Composable Jailbreak Attack Synthesis Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia, Davide Ghilardi, Anna Goldie, Federico Bianchi, Dan Jurafsky, Christopher Manning

Long-Context Linear System Identification Oğuz Kaan Yüksel, Mathieu Even, Nicolas Flammarion

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu

Federated Residual Low-Rank Adaption of Large Language Models Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Lei Zhu, Rick Siow Mong Mong, Yong Liu

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement Yuqi Lin, Hengjia Li, Wenqi Shao, Zheng Yang, Jun Zhao, Xiaofei He, Ping Luo, Kaipeng Zhang

Automatic Curriculum Expert Iteration for Reliable LLM Reasoning Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo

QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation Yehui Tang, Mabiao Long, Junchi Yan

MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan Burgert, Mu Cai, Yong Jae Lee, Michael Ryoo

Unlearning-based Neural Interpretations Ching Lam Choi, Alexandre Duplessis, Serge Belongie

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Hengzhuang Li, Teng Zhang

Transformer Meets Twicing: Harnessing Unattended Residual Information Laziz Abdullaev, Tan Nguyen

LLaMA-Omni: Seamless Speech Interaction with Large Language Models Qingkai Fang, Shoutao Guo, Yan Zhou, Zhengrui Ma, Shaolei Zhang, Yang Feng

Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting Yicheng Deng, Hideaki Hayashi, Hajime Nagahara

POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition Yuta Saito, Jihan Yao, Thorsten Joachims

Federated Granger Causality Learning For Interdependent Clients With State Space Representation Ayush Mohanty, Nazal Mohamed, Paritosh Ramanan, Nagi Gebraeel

Convergence of Distributed Adaptive Optimization with Local Updates Ziheng Cheng, Margalit Glasgow

Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations Nils Wandel, Stefan Schulz, Reinhard Klein

A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic

SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji

Spectro-Riemannian Graph Neural Networks Karish Grover, Haiyang Yu, Xiang song, Qi Zhu, Han Xie, Vassilis Ioannidis, Christos Faloutsos

Accessing Vision Foundation Models via ImageNet-1K Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu

Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition Aliyah Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri, Yaxuan Huang, Anobel Odisho, Peter Carroll, Bin Yu

Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery Yuxuan Zhou, Xien Liu, Chen Ning, Xiao Zhang, Ji Wu

Learning to engineer protein flexibility Petr Kouba, Joan Planas-Iglesias, Jiri Damborsky, Jiri Sedlar, Stanislav Mazurenko, Josef Sivic

Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers Tiberiu Mușat

Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency Qifan Liang, Yixiang Shan, Haipeng Liu, Zhengbang Zhu, Ting Long, Weinan Zhang, Yuan Tian

An Intelligent Agentic System for Complex Image Restoration Problems Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong

Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws Yiding Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, Zico Kolter

SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints Jianhong Bai, Menghan Xia, Xintao WANG, Ziyang Yuan, Zuozhu Liu, Haoji Hu, Pengfei Wan, Di ZHANG

Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo, Chen Chen, Shandong Wu

Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning Yang You, Yixin Li, Congyue Deng, Yue Wang, Leonidas Guibas

A Formal Framework for Understanding Length Generalization in Transformers Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn

Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu

End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler Denis Blessing, Xiaogang Jia, Gerhard Neumann

First-Person Fairness in Chatbots Tyna Eloundou, Alex Beutel, David Robinson, Keren Gu, Anna-Luisa Brakman, Pamela Mishkin, Meghan Shah, Johannes Heidecke, Lilian Weng, Adam Tauman Kalai

Structural-Entropy-Based Sample Selection for Efficient and Effective Learning Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu

L3Ms — Lagrange Large Language Models Guneet Singh Dhillon, Xingjian Shi, Yee Whye Teh, Alex Smola

Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng

SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei

Sensitivity Verification for Additive Decision Tree Ensembles Arhaan Ahmad, Tanay Tayal, Ashutosh Gupta, S. Akshay

Quantum (Inspired) $D^2$-sampling with Applications Poojan Shah, Ragesh Jaiswal

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension Xinnan Dai, Haohao QU, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan

Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement Xueyao Zhang, Xiaohui Zhang, Kainan Peng, Zhenyu Tang, Vimal Manohar, Yingru Liu, Jeff Hwang, Dangna Li, Yuhao Wang, Julian Chan, Yuan Huang, Zhizheng Wu, Mingbo Ma

LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models JUNRU SONG, Yang Yang, Huan Xiao, Wei Peng, Wen Yao, Feifei Wang

A Robust Method to Discover Causal or Anticausal Relation Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu

Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael Matthews, Michael Beukman, Chris Lu, Jakob Foerster

Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models Jeffrey Gu, Serena Yeung

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng HUANG, Qingtian Bian, James Cheng, Yiping Ke

RocketEval: Efficient automated LLM evaluation via grading checklist Tianjun Wei, Wei Wen, Ruizhi Qiao, Xing Sun, Jianghong Ma

Semantic Aware Representation Learning for Lifelong Learning Fahad Sarfraz, Elahe Arani, Bahram Zonooz

FreeVS: Generative View Synthesis on Free Driving Trajectory Qitai Wang, Lue Fan, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang

CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang, Luca Carlone

DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback GUOJUN XIONG, Ujwal Dinesha, Debajoy Mukherjee, Jian Li, Srinivas Shakkottai

ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning Pengwei Tang, Xiaolin Hu, Yong Liu

T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data Hugo Thimonier, José Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Liên DOAN

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? xueru wen, Jie Lou, Yaojie Lu, Hongyu Lin, XingYu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Naman Jain, Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica

Consistent Flow Distillation for Text-to-3D Generation runjie yan, Yinbo Chen, Xiaolong Wang

Physics-aligned field reconstruction with diffusion bridge Zeyu Li, Hongkun Dou, Shen Fang, Wang Han, Yue Deng, Lijun Yang

FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning Woosung Koh, Wonbeen Oh, Siyeol Kim, Suhin Shin, Hyeongjin Kim, Jaein Jang, Junghyun Lee, Se-Young Yun

Feedback Schrödinger Bridge Matching Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos Theodorou

Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang

3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation Dewei Zhou, Ji Xie, Zongxin Yang, Yi Yang

Noisy Test-Time Adaptation in Vision-Language Models Chentao Cao, Zhun Zhong, (Andrew) Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han

BOND: Aligning LLMs with Best-of-N Distillation Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot-Desenonges, Johan Ferret, Nino Vieillard, Alexandre Rame, Bobak Shahriari, Sarah Perrin, Abram Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amélie Héliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem

Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks Binghui Li, Zhixuan Pan, Kaifeng Lyu, Jian Li

Reconciling Model Multiplicity for Downstream Decision Making Ally Du, Dung Daniel Ngo, Steven Wu

$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Senmao Li, Kai Wang, Joost van de Weijer, Fahad Khan, Chun-Le Guo, Shiqi Yang, Yaxing Wang, jian Yang, Ming-Ming Cheng

Optimal Protocols for Continual Learning via Statistical Physics and Control Theory Francesco Mori, Stefano Sarao Mannelli, Francesca Mignacco

Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan, Samuele Papa, Karl H. Johansson, Stefan Bauer, Andrea Dittadi

A Unifying Framework for Representation Learning Shaden Alshammari, John Hershey, Axel Feldmann, William Freeman, Mark Hamilton

No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data Daniel Cai, Randall Balestriero

Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification Hyunji Jung, Hanseul Cho, Chulhee Yun

Scaling Wearable Foundation Models Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam Tailor, Jacob Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, Daniel McDuff

Learn Your Reference Model for Real Good Alignment Alexey Gorbatovski, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, Yaroslav Aksenov, Ian Maksimov, Nikita Balagansky, Daniil Gavrilov

Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees Gautam Chandrasekaran, Adam Klivans, Lin Lin Lee, Konstantinos Stavropoulos

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing Ziteng Wang, Jun Zhu, Jianfei Chen

Ensembling Diffusion Models via Adaptive Feature Aggregation Cong Wang, kuan tian, Yonghang Guan, Fei Shen, Zhiwei Jiang, Qing Gu, Jun Zhang

ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks Qiang Liu, Mengyu Chu, Nils Thuerey

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher Brinton

Let the Code LLM Edit Itself When You Edit the Code Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang, Di He

Multi-session, multi-task neural decoding from distinct cell-types and brain regions Mehdi Azabou, Krystal Pan, Vinam Arora, Ian Knight, Eva Dyer, Blake A Richards

Improved Training Technique for Latent Consistency Models Minh Quan Dao, Khanh Doan, Di Liu, Trung Le, Dimitris Metaxas

Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model Tudor Cebere, Aurélien Bellet, Nicolas Papernot

MIND over Body: Adaptive Thinking using Dynamic Computation Mrinal Mathur, Barak Pearlmutter, Sergey Plis

An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels Duy-Kien Nguyen, Mahmoud Assran, Unnat Jain, Martin R. Oswald, Cees G Snoek, Xinlei Chen

Grounding Continuous Representations in Geometry: Equivariant Neural Fields David Wessels, David Knigge, Riccardo Valperga, Samuele Papa, Sharvaree Vadgama, Efstratios Gavves, Erik Bekkers

Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement Yuhang Li, Zhuying Li, Yuheng Jia

Improving Semantic Understanding in Speech Language Models via Brain-tuning Omer Moussa, Dietrich Klakow, Mariya Toneva

xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation Qingchen Yu, Zifan Zheng, Shichao Song, Zhiyu li, Feiyu Xiong, Bo Tang, Ding Chen

NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields Hanqiao Ye, Yuzhou Liu, Yangdong Liu, Shuhan Shen

Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness Kangrui Du, Yuhang Wu, Shikuang Deng, Shi Gu

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction Hossein Resani, Behrooz Nasihatkon

Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator xin zhang, Jiawei Du, Ping Liu, Joey Tianyi Zhou

LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi, Tianyuan Zhang, Fujun Luan, Noah Snavely, Zexiang Xu

Sharpness-Aware Black-Box Optimization Feiyang YE, YUEMING LYU, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor Tsang

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu

ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY Chenrui Tie, Yue Chen, Ruihai Wu, Boxuan Dong, Zeyi Li, Chongkai Gao, Hao Dong

Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning Wassim Bouaziz, Nicolas Usunier, El-Mahdi El-Mhamdi

Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang

Repulsive Latent Score Distillation for Solving Inverse Problems Nicolas Zilberstein, Morteza Mardani, Santiago Segarra

Collapsed Language Models Promote Fairness Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei

Efficient Model Editing with Task-Localized Sparse Fine-tuning Leonardo Iurada, Marco Ciccone, Tatiana Tommasi

Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features Feng Ji, Yanan Zhao, KAI ZHAO, Hanyang Meng, Jielong Yang, Wee Peng Tay

On the Fourier analysis in the SO(3) space : the EquiLoPO Network Dmitrii Zhemchuzhnikov, Sergei Grudinin

Self-Attention-Based Contextual Modulation Improves Neural System Identification Isaac Lin, Tianye Wang, Shang Gao, Tang Shiming, Tai Lee

Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows Shuhao Cao, Francesco Brarda, Ruipeng Li, Yuanzhe Xi

CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, Sercan Arik

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B Tenenbaum, Tom Silver, Joao F. Henriques, Kevin Ellis

Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling Jingyun Xue, WANG HongFa, Qi Tian, Yue Ma, Andong Wang, Zhiyuan Zhao, Shaobo Min, Wenzhe Zhao, Kaihao Zhang, Heung-Yeung Shum, Wei Liu, Mengyang LIU, Wenhan Luo

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning Zihan Ye, Shreyank Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin

Swing-by Dynamics in Concept Learning and Compositional Generalization Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

Directional Gradient Projection for Robust Fine-Tuning of Foundation Models Chengyue Huang, Junjiao Tian, Brisa Maneechotesuwan, Shivang Chopra, Zsolt Kira

Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory Alexander Levine, Peter Stone, Amy Zhang

Bridging the Data Provenance Gap Across Text, Speech, and Video Shayne Longpre, Nikhil Singh, Manuel Cherep, Kushagra Tiwary, Joanna Materzynska, William Brannon, Robert Mahari, Naana Obeng-Marnu, Manan Dey, Mohammed Hamdy, Nayan Saxena, Ahmad Mustafa Anis, Emad Alghamdi, Minh Chien Vu, Da Yin, Kun Qian, Yizhi Li, Minnie Liang, An Dinh, Shrestha Mohanty, Deividas Mataciunas, Tobin South, Jianguo Zhang, Ariel N. Lee, Campbell Lund, Christopher Klamm, Damien Sileo, Diganta Misra, Enrico Shippole, Kevin Klyman, Lester James V. Miranda, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Vipul Gupta, Vivek Sharma, Xuhui Zhou, Caiming Xiong, Luis Villa, Stella R Biderman, Alex Pentland, Sara Hooker, Jad Kabbara

LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava

Discrete Distribution Networks Lei Yang

Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions Michael Zhang, W. Bradley Knox, Eunsol Choi

Diff-Prompt: Diffusion-driven Prompt Generator with Mask Supervision Weicai Yan, Wang Lin, Zirun Guo, Ye Wang, Fangming Feng, Xiaoda Yang, zehan wang, Tao Jin

Identification of Intermittent Temporal Latent Process Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang

Generalized Consistency Trajectory Models for Image Manipulation Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul YE

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval Leqi Shen, Tianxiang Hao, Tao He, Sicheng Zhao, Yifeng Zhang, pengzhang liu, Yongjun Bao, Guiguang Ding

On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions Omer Madmon, Idan Pipano, Itamar Jacob Reinman, Moshe Tennenholtz

Elucidating the Preconditioning in Consistency Distillation Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Fine-tuning can Help Detect Pretraining Data from Large Language Models Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei

Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling Aram Davtyan, Leello Dadi, Volkan Cevher, Paolo Favaro

Expected Sliced Transport Plans Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri

Execution-guided within-prompt search for programming-by-example Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani

Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning Yujian Liu, Shiyu Chang, Tommi Jaakkola, Yang Zhang

3D Vision-Language Gaussian Splatting Qucheng Peng, Benjamin Planche, Zhongpai Gao, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Chen Chen, Ziyan Wu

TASAR: Transfer-based Attack on Skeletal Action Recognition Yunfeng Diao, Baiqi Wu, Ruixuan Zhang, Ajian Liu, Xiaoshuai Hao, Xingxing Wei, Meng Wang, He Wang

On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning Roman Belaire, Arunesh Sinha, Pradeep Varakantham

RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction Peng Liu, Dongyang Dai, Zhiyong Wu

Adaptive Retention & Correction: Test-Time Training for Continual Learning Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang

Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting Yilun Zheng, Xiang Li, Sitao Luan, Xiaojiang Peng, Lihui Chen

Three Mechanisms of Feature Learning in a Linear Network Yizhou Xu, Liu Ziyin

A Benchmark for Semantic Sensitive Information in LLMs Outputs Qingjie Zhang, Han Qiu, Di Wang, Yiming Li, Tianwei Zhang, Wenyu Zhu, Haiqin Weng, Liu Yan, Chao Zhang

Model-Free Offline Reinforcement Learning with Enhanced Robustness Chi Zhang, Zain Ulabedeen Farhat, George Atia, Yue Wang

AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation Yukang Cao, Liang Pan, Kai Han, Kwan-Yee K Wong, Ziwei Liu

Hidden in the Noise: Two-Stage Robust Watermarking for Images Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen

Adversarial Latent Feature Augmentation for Fairness Hoin Jung, Junyi Chai, Xiaoqian Wang

Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody Fleming

Conditional Testing based on Localized Conformal $p$-values Xiaoyang Wu, Lin Lu, Zhaojun Wang, Changliang Zou

Learning to Solve Differential Equation Constrained Optimization Problems Vincenzo Di Vito Francesco, Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto

ColPali: Efficient Document Retrieval with Vision Language Models Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, CELINE HUDELOT, Pierre Colombo

Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space Mengjing Wu, Junyu Xuan, Jie Lu

Safety Representations for Safer Policy Learning Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie Chen, Samer Nashed, Liam Paull

Glad: A Streaming Scene Generator for Autonomous Driving Bin Xie, Yingfei Liu, Tiancai Wang, Jiale Cao, Xiangyu Zhang

Captured by Captions: On Memorization and its Mitigation in CLIP Models Wenhao Wang, Adam Dziedzic, Grace Kim, Michael Backes, Franziska Boenisch

Reassessing How to Compare and Improve the Calibration of Machine Learning Models Muthu Chidambaram, Rong Ge

Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model Rundong He, Yicong Dong, Lan-Zhe Guo, Yilong Yin, Tailin Wu

Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen

A Simple yet Effective $\Delta\Delta G$ Predictor is An Unsupervised Antibody Optimizer and Explainer Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z Li

Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction Baiting Luo, Ava Pettet, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason Lee, Daniel Jiang, Yonathan Efroni

Towards a Unified and Verified Understanding of Group-Operation Networks Wilson Wu, Louis Jaburi, jacob drori, Jason Gross

Can We Talk Models Into Seeing the World Differently? Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper

AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction Jingnan Gao, Zhuo Chen, Xiaokang Yang, Yichao Yan

SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye HAO, Jun Wang, Kun Shao

Select before Act: Spatially Decoupled Action Repetition for Continuous Control Buqing Nie, Yangqing Fu, Yue Gao

PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, Chunhua Shen

The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model Jiawei Chen, Wentao Chen, Jing Su, Jingjing Xu, Hongyu Lin, Mengjie Ren, Yaojie Lu, Xianpei Han, Le Sun

Reinforcement learning with combinatorial actions for coupled restless bandits Lily Xu, Bryan Wilder, Elias Khalil, Milind Tambe

Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond Qizhou Wang, Jin Zhou, (Andrew) Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Weinberger

Data Selection via Optimal Control for Language Models Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang

MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion Onkar Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay

OLMoE: Open Mixture-of-Experts Language Models Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah Smith, Pang Wei Koh, Amanpreet Singh, Hanna Hajishirzi

Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding Xin Gu, Yaojie Shen, Chenxi Luo, Tiejian Luo, Yan Huang, YUEWEI LIN, Heng Fan, Libo Zhang

Retrieval Head Mechanistically Explains Long-Context Factuality Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu

Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity Mutian He, Philip N. Garner

Hierarchical World Models as Visual Whole-Body Humanoid Controllers Nick Hansen, Jyothir S V, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su

Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning Patrik Reizinger, Siyuan Guo, Ferenc Huszar, Bernhard Schölkopf, Wieland Brendel

Self-supervised contrastive learning performs non-linear system identification Rodrigo Gonzalez Laiz, Tobias Schmidt, Steffen Schneider

Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy Ishank Juneja, Carlee Joe-Wong, Osman Yagan

Learning to Help in Multi-Class Settings Yu Wu, Yansong Li, Zeyu Dong, Nitya Sathyavageeswaran, Anand Sarwate

Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do Yoav Wald, Mark Goldstein, Yonathan Efroni, Wouter van Amsterdam, Rajesh Ranganath

Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML Ryan McKenna

CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening Gen Zhou, Sugitha Janarthanan, Yutong Lu, Pingzhao Hu

PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo

Quality over Quantity in Attention Layers: When Adding More Heads Hurts Noah Amsel, Gilad Yehudai, Joan Bruna

ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement XIANGYU PENG, Congying Xia, Xinyi Yang, Caiming Xiong, Chien-Sheng Wu, Chen Xing

BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts Divya Jyoti Bajpai, Manjesh Kumar Hanawal

Regularization by Texts for Latent Diffusion Inverse Solvers Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul YE

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Xiang Li, Pengfei Li, Yupeng Zheng, Wei Sun, Yan Wang, yilun chen

Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures Yiming Chen, Yuan Zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen

AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning Yuanfei Wang, Xiaojie Zhang, Ruihai Wu, Yu Li, Yan Shen, Mingdong Wu, Zhaofeng He, Yizhou Wang, Hao Dong

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding Fei Wang, XINGYU FU, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Yan, Wenjie Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen

On Evaluating the Durability of Safeguards for Open-Weight LLMs Xiangyu Qi, Boyi Wei, Nicholas Carlini, Yangsibo Huang, Tinghao Xie, Luxi He, Matthew Jagielski, Milad Nasr, Prateek Mittal, Peter Henderson

RRM: Robust Reward Model Training Mitigates Reward Hacking Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh

Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels Hyeonsu Jeong, Hye Won Chung

OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination Tobias Gessler, Tin Dizdarevic, Ani Calinescu, Benjamin Ellis, Andrei Lupu, Jakob Foerster

Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers Quoc-Vinh Lai-Dang, Taemin Kang, Seungah Son

Decomposition Polyhedra of Piecewise Linear Functions Marie-Charlotte Brandenburg, Moritz Grillo, Christoph Hertrich

Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection Chunlei Li, Yilei Shi, Jingliang Hu, Xiaoxiang Zhu, Lichao Mou

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations GUOJUN XIONG, Shufan Wang, Daniel Jiang, Jian Li

Probabilistic Conformal Prediction with Approximate Conditional Validity Vincent Plassier, Alexander Fishkov, Mohsen Guizani, Maxim Panov, Eric Moulines

LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality Kojiro Takeyama, Yimeng Liu, Misha Sra

Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis

ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology Yi Xiao, Qilong Jia, Kun Chen, LEI BAI, Wei Xue

Convex Formulations for Training Two-Layer ReLU Neural Networks Karthik Prakhya, Tolga Birdal, Alp Yurtsever

Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration Guy Ohayon, Tomer Michaeli, Michael Elad

Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain

DiffPuter: Empowering Diffusion Models for Missing Data Imputation Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip Yu

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks Paul Garnier, Vincent Lannelongue, Jonathan Viquerat, Elie Hachem

Towards Unbiased Learning in Semi-Supervised Semantic Segmentation Rui Sun, Huayu Mai, Wangkai Li, Tianzhu Zhang

JudgeBench: A Benchmark for Evaluating LLM-Based Judges Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Tang, Alejandro Cuadron, Chenguang Wang, Raluca Popa, Ion Stoica

Aligned Datasets Improve Detection of Latent Diffusion-Generated Images Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser, Yong Jae Lee

Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye

DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS Rana Shahout, Eran Malach, Chunwei Liu, Weifan Jiang, Minlan Yu, Michael Mitzenmacher

Decentralized Optimization with Coupled Constraints Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev, Daniil Dorin, Alexander Gasnikov, Dmitry Kovalev

ELFS: Label-Free Coreset Selection with Proxy Training Dynamics Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian Bartoldson, Bhavya Kailkhura, Atul Prakash

When Selection Meets Intervention: Additional Complexities in Causal Discovery Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang

Differentiable Optimization of Similarity Scores Between Models and Brains Nathan Cloos, Moufan Li, Markus Siegel, Scott Brincat, Earl Miller, Guangyu Robert Yang, Christopher Cueva

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang

LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński, Dawid Rymarczyk

Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations Nick Jiang, Anish Kachinthaya, Suzanne Petryk, Yossi Gandelsman

Prompting Fairness: Integrating Causality to Debias Large Language Models Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu

Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection Guojin Zhong, pan wang, Jin Yuan, Zhiyong Li, Long Chen

One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning Wenxi Lv, Qinliang Su, Wenchao Xu

Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck Shuai Zhang, Junfeng Fang, Xuqiang Li, Hongxin Xiang, Jun Xia, Ye Wei, Wenjie Du, Yang Wang

Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation Hyungjoo Chae, Namyoung Kim, Kai Ong, Minju Gwak, Gwanwoo Song, Jihoon Kim, Sunghwan Kim, Dongha Lee, Jinyoung Yeo

DataGen: Unified Synthetic Dataset Generation via Large Language Models Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang

Block-Attention for Efficient Prefilling Dongyang Ma, Yan Wang, Tian Lan

On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman Khan, Lei Zhu, Yong Liu

STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning Marius Memmel, Jacob Berg, Bingqing Chen, Abhishek Gupta, Jonathan Francis

How many samples are needed to train a deep neural network? Pegah Golestaneh, Mahsa Taheri, Johannes Lederer

$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning Mintong Kang, Bo Li

Difference-of-submodular Bregman Divergence Masanari Kimura, Takahiro Kawashima, Tasuku Soma, Hideitsu Hino

FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware Korbinian Pöppel, Maximilian Beck, Sepp Hochreiter

Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models Zhenyu Pan, Haozheng Luo, Manling Li, Han Liu

In Search of Forgotten Domain Generalization Prasanna Mayilvahanan, Roland Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel

Learning Diagrams: A Graphical Language for Compositional Training Regimes Mason Lary, Richard Samuelson, Alexander Wilentz, Alina Zare, Matthew Klawonn, James Fairbanks

AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Anh Bui, Thuy-Trang Vu, Long Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung

MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Qi He, Wangmeng Xiang, Hanyuan Chen, Jin-Peng Lan, Xianhui Lin, kang zhu, Bin Luo, Yifeng Geng, Xuansong Xie, Alexander G Hauptmann

UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation Alexander Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R Glass, Rafael Valle, Bryan Catanzaro

Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro

Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration Chen Jiang, Jiahui An, Yating Liu, Ni Ji

Designing Concise ConvNets with Columnar Stages Ashish Kumar, Jaesik Park

Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models Cong Fu, Xiner Li, Blake Olson, Heng Ji, Shuiwang Ji

The impact of allocation strategies in subset learning on the expressive power of neural networks Ofir Schlisselberg, Ran Darshan

TIPS: Text-Image Pretraining with Spatial awareness Kevis-Kokitsi Maninis, Kaifeng Chen, Soham Ghosh, Arjun Karpur, Koert Chen, Ye Xia, Bingyi Cao, Daniel Salz, Guangxing Han, Jan Dlabal, Dan Gnanapragasam, Mojtaba Seyedhosseini, Howard Zhou, Andre Araujo

Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models Qingni Wang, Tiantian Geng, Zhiyuan Wang, Teng Wang, Bo Fu, Feng Zheng

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang

Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding Yanming Liu, Xinyue Peng, Jiannan Cao, S, Yanxin Shen, Tianyu Du, Sheng Cheng, Xun Wang, Jianwei Yin, Xuhong Zhang

Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming Yilun Hao, Yang Zhang, Chuchu Fan

Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim, Hyojun Go, Soonwoo Kwon, Hyun-Gyoon Kim

On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Wang

CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler

Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco, R. Teal Witter

Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval Mohammad Omama, Po-han Li, Sandeep Chinchali

Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs Jie Zhang, Zhongqi Wang, Mengqi Lei, Zheng Yuan, Bei Yan, Shiguang Shan, Xilin CHEN

Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E Gonzalez, trevor darrell, David Chan

Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling Wenda Xu, Rujun Han, Zifeng Wang, Long Le, Dhruv Madeka, Lei Li, William Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister

Universal Image Restoration Pre-training via Degradation Classification Jiakui Hu, Lujia Jin, Zhengjian Yao, Yanye Lu

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang

The AdEMAMix Optimizer: Better, Faster, Older Matteo Pagliardini, Pierre Ablin, David Grangier

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander Lew, Tim Vieira, Timothy O'Donnell

PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks Nicolas Yax, Pierre-Yves Oudeyer, Stefano Palminteri

Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models Jingyang Zhang, Jingwei Sun, Eric Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Yang, Hai Li

Centrality-guided Pre-training for Graph Bin Liang, Shiwei Chen, Lin Gui, HUI WANG, Yue Yu, Ruifeng Xu, Kam-Fai Wong

Robustness Auditing for Linear Regression: To Singularity and Beyond Ittai Rubinstein, Samuel Hopkins

Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li

Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li

MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning Minheng Ni, YuTao Fan, Lei Zhang, Wangmeng Zuo

On Speeding Up Language Model Evaluation Jin Zhou, Christian Belardi, Ruihan Wu, Travis Zhang, Carla Gomes, Wen Sun, Kilian Weinberger

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models Zeping Min, Xinshang Wang

Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation Mohamed el amine Boudjoghra, Angela Dai, Jean Lahoud, Hisham Cholakkal, Rao Anwer, Salman Khan, Fahad Khan

ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu

AgentRefine: Enhancing Agent Generalization through Refinement Tuning Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma GongQue, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks Matthew Chang, Gunjan Chhablani, Alexander Clegg, Mikael Dallaire Cote, Ruta Desai, Michal Hlavac, Vladimir Karashchuk, Jacob Krantz, Roozbeh Mottaghi, Priyam Parashar, Siddharth Patki, Ishita Prasad, Xavier Puig, Akshara Rai, Ram Ramrakhya, Daniel Tran, Joanne Truong, John Turner, Eric Undersander, Tsung-Yen Yang

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search Yang Li, Jiale Ma, Wenzheng Pan, Runzhong Wang, Haoyu Geng, Nianzu Yang, Junchi Yan

Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length Zihan Yu, Jingtao Ding, Yong Li, Depeng Jin

ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge Eslam Abdelrahman, Liangbing Zhao, Tao Hu, MATTHIEU CORD, Patrick Perez, Mohamed Elhoseiny

SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems Patrick Emami, Zhaonan Li, Saumya Sinha, Truc Nguyen

Real-time design of architectural structures with differentiable mechanics and neural networks Rafael Pastrana, Eder Medina, Isabel M. de Oliveira, Sigrid Adriaenssens, Ryan P Adams

PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning Utsav Singh, Vinay Purushothaman Namboodiri

Self-Boosting Large Language Models with Synthetic Preference Data Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei

Theory, Analysis, and Best Practices for Sigmoid Self-Attention Jason Ramapuram, Federico Danieli, Eeshan Gunesh Dhekane, Floris Weers, Dan Busbridge, Pierre Ablin, Tatiana Likhomanenko, Jagrit Digani, Zijin Gu, Amitis Shidani, Russell Webb

Dynamic Diffusion Transformer Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You

QPM: Discrete Optimization for Globally Interpretable Image Classification Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn

Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun

Multi-Perspective Data Augmentation for Few-shot Object Detection Anh-Khoa Nguyen Vu, Quoc Truong Truong, Vinh-Tiep Nguyen, Thanh Ngo, Thanh-Toan Do, Tam Nguyen

Competing Large Language Models in Multi-Agent Gaming Environments Jen-Tse Huang, Eric John Li, Man Ho LAM, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael Lyu

Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels Zhizheng Liu, Joe Lin, Wayne Wu, Bolei Zhou

Decision Information Meets Large Language Models: The Future of Explainable Operations Research Yansen Zhang, Qingcan Kang, Wing Yin YU, HaileiGong, Xiaojin Fu, Xiongwei Han, Tao Zhong, Chen Ma

A CLIP-Powered Framework for Robust and Generalizable Data Selection Suorong Yang, Peng Ye, Wanli Ouyang, Dongzhan Zhou, Furao Shen

When do GFlowNets learn the right distribution? Tiago Silva, Rodrigo Alves, Eliezer de Souza da Silva, Amauri Souza, Vikas Garg, Samuel Kaski, Diego Mesquita

Weighted-Reward Preference Optimization for Implicit Model Fusion Ziyi Yang, Fanqi Wan, Longguang Zhong, Tianyuan Shi, Xiaojun Quan

Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding Akash Kumar, Zsolt Kira, Yogesh S Rawat

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

Accelerated training through iterative gradient propagation along the residual path Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen

Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment Huayu Chen, Hang Su, Peize Sun, Jun Zhu

OpenHands: An Open Platform for AI Software Developers as Generalist Agents Xingyao Wang, Boxuan Li, Yufan Song, Frank F Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Daniel Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo Shengyu Feng, Xiang Kong, shuang ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang

EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang, Jian Sha

Adversarial Attacks on Data Attribution Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi Ma

Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation Insoo Kim, Hana Lee, Hyong-Euk Lee, Jinwoo Shin

Causally Motivated Sycophancy Mitigation for Large Language Models Haoxi Li, Xueyang Tang, Jie ZHANG, Song Guo, Sikai Bai, Peiran Dong, Yue Yu

Lean-STaR: Learning to Interleave Thinking and Proving Haohan Lin, Zhiqing Sun, Sean Welleck, Yiming Yang

SCBench: A KV Cache-Centric Analysis of Long-Context Methods Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu

Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models Lin Zhu, Xinbing Wang, Chenghu Zhou, Qinying Gu, Nanyang Ye

Preserving Diversity in Supervised Fine-Tuning of Large Language Models Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Zhi-Quan Luo, Ruoyu Sun

Balancing Act: Diversity and Consistency in Large Language Model Ensembles Ahmed Abdulaal, Chen Jin, Nina Montaña-Brown, Aryo Pradipta Gema, Daniel Castro, Daniel Alexander, Philip Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Y Zou, Huaxiu Yao

Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality Ge Ya Luo, Gian M Favero, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal

Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models Hanmo Liu, Shimin Di, Jialiang Wang, Zhili Wang, Jiachuan Wang, Xiaofang Zhou, Lei Chen

Diversity-Rewarded CFG Distillation Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Rame

MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents Yanqi Dai, Huanran Hu, Lei Wang, Shengjie Jin, Xu Chen, Zhiwu Lu

VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis Yumeng Li, William H Beluch, Margret Keuper, Dan Zhang, Anna Khoreva

Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation Rong Tang, Lizhen Lin, Yun Yang

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Zhixiang Chi, Li Gu, Huan Liu, Ziqiang Wang, Yanan Wu, Yang Wang, Konstantinos Plataniotis

Competition Dynamics Shape Algorithmic Phases of In-Context Learning Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka

PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS Yilong Li, Jingyu Liu, Hao Zhang, Badri Narayanan Murali Krishnan, Utkarsh Sharma, Shuai Zhang, Yijing Zeng, Jayaram Raghuram, Suman Banerjee

Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal

Find A Winning Sign: Sign Is All We Need to Win the Lottery Junghun Oh, Sungyong Baik, Kyoung Mu Lee

Bonsai: Gradient-free Graph Condensation for Node Classification Mridul Gupta, Samyak Jain, Vansh Ramani, HARIPRASAD KODAMANA, Sayan Ranu

Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs Sreyan Ghosh, Chandra Kiran Evuru, Sonal Kumar, Utkarsh Tyagi, Oriol Nieto, Zeyu Jin, Dinesh Manocha

Competitive Fair Scheduling with Predictions Tianming Zhao, Chunqiu xia, Xiaomin Chang, Chunhao Li, Wei Li, Albert Zomaya

CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models Zheng Chong, Xiao Dong, Haoxiang Li, shiyue Zhang, Wenqing Zhang, Hanqing Zhao, xujie zhang, Dongmei Jiang, Xiaodan Liang

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen GONG, James Hoang, Armel Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, Binyuan Hui, Niklas Muennighoff, David Lo, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro Von Werra

DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin

Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro, Dinesh Manocha

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David Lindell, Sergey Tulyakov

Bias Mitigation in Graph Diffusion Models Meng Yu, Kun Zhan

How Does Critical Batch Size Scale in Pre-training? Hanlin Zhang, Depen Morwani, Nikhil Vyas, Jingfeng Wu, Difan Zou, Udaya Ghai, Dean Foster, Sham Kakade

On the Optimal Memorization Capacity of Transformers Tokio Kajitsuka, Issei Sato

Learning from End User Data with Shuffled Differential Privacy over Kernel Densities Tal Wagner

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models Hyogon Ryu, NaHyeon Park, Hyunjung Shim

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov

Sequential Controlled Langevin Diffusions Junhua Chen, Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann, anima anandkumar

PersonalLLM: Tailoring LLMs to Individual Preferences Thomas Zollo, Andrew Siah, Naimeng Ye, Li, Hongseok Namkoong

EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun

The Superposition of Diffusion Models Using the Itô Density Estimator Marta Skreta, Lazar Atanackovic, Joey Bose, Alexander Tong, Kirill Neklyudov

KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics Jindou Chen, Jidong Tian, Liang Wu, ChenXinWei, Xiaokang Yang, Yaohui Jin, Yanyan Xu

Spurious Forgetting in Continual Learning of Language Models Junhao Zheng, Xidi Cai, Shengjie Qiu, Qianli Ma

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph Lampert

Searching for Optimal Solutions with LLMs via Bayesian Optimization Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah

Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Tekin, Ling Liu

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan

ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities Peng Xu, Wei Ping, Xianchao Wu, Chejian Xu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro

Exploring Learning Complexity for Efficient Downstream Dataset Pruning Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei

An Engorgio Prompt Makes Large Language Model Babble on Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Tianwei Zhang, Hao Wang, Hewu Li, Qi Li, Chao Zhang, Ke Xu, Han Qiu

Student-Informed Teacher Training Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza

DEEM: Diffusion models serve as the eyes of large language models for image perception Run Luo, Yunshui Li, Longze Chen, Wanwei He, Ting-En Lin, Ziqiang Liu, Lei Zhang, Zikai Song, Hamid Alinejad-Rokny, Xiaobo Xia, Tongliang Liu, Binyuan Hui, Min Yang

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos, Sammy Sharief, Nikolay Malkin, Salma Salhi, Connor Stone, Laurence Perreault-Levasseur, Yashar Hezaveh

SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios Kai Li, Wendi Sang, Chang Zeng, Runxuan Yang, Guo Chen, Xiaolin Hu

MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, DAE SHIK KIM

Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding Frank Zhengqing Wu, Berfin Simsek, François Ged

Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting Qi Li, Zhenyu Zhang, Lei Yao, Zhaoxia Li, Tianyi Zhong, Yong Zhang

Gradient descent with generalized Newton’s method Zhiqi Bu, Shiyun Xu

Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity Yizhuo Lu, Changde Du, Chong Wang, Xuanliu Zhu, Liuyun Jiang, Xujin Li, Huiguang He

Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning Xiaorui Peng, Yuheng Jia, Fuchao Yang, Ran Wang, Min-Ling Zhang

MELODI: Exploring Memory Compression for Long Contexts Yinpeng Chen, DeLesley Hutchins, Aren Jansen, Andrey Zhmoginov, David Racz, Jesper Andersen

Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning Gyoung S. Na, Chanyoung Park

Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning Melanie Sclar, Jane Dwivedi-Yu, Maryam Fazel-Zarandi, Yulia Tsvetkov, Yonatan Bisk, Yejin Choi, Asli Celikyilmaz

Language models scale reliably with over-training and on downstream tasks Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, Ludwig Schmidt

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation Ziwei Yang, Zheng Chen, XIN LIU, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ Zhaojing Wen, Qiulin Zhang, Yuan Zhang, Rudan Chen, Xichao Yang, Di Xie, Jiang Zhu

Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning Joey Hong, Anca Dragan, Sergey Levine

Simple ReFlow: Improved Techniques for Fast Flow Models Beomsu Kim, Yu-Guan Hsieh, Michal Klein, marco cuturi, Jong Chul YE, Bahjat Kawar, James Thornton

On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth Gennadiy Averkov, Christopher Hojny, Maximilian Merkert

Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Xiao, Yingzhen Li, David Barber

On Calibration of LLM-based Guard Models for Reliable Content Moderation Hongfu Liu, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

Benchmarking LLMs' Judgments with No Gold Standard Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, Yuqing Kong

SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting Huajian Huang, Yingshu Chen, Longwei Li, Hui Cheng, Tristan Braud, Yajie Zhao, Sai-Kit Yeung

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han

Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection Song Li, Yang Tan, Song Ke, liang hong, Bingxin Zhou

Data Distillation for extrapolative protein design through exact preference optimization Mostafa Karimi, Sharmi Banerjee, Tommi Jaakkola, Bella Dubrov, Shang Shang, Ron Benson

Jamba: Hybrid Transformer-Mamba Language Models Barak Lenz, Opher Lieber, Alan Arazi, Amir Bergman, Avshalom Manevich, Barak Peleg, Ben Aviram, Chen Almagor, Clara Fridman, Dan Padnos, Daniel Gissin, Daniel Jannai, Dor Muhlgay, Dor Zimberg, Edden Gerber, Elad Dolev, Eran Krakovsky, Erez Sa, Erez Schwartz, Gal Cohen, Gal Shachaf, Haim Rozenblum, Hofit Bata, Ido Blass, Inbal Magar, Itay Dalmedigos, Jhonathan Osin, Julie Fadlon, Maria Rozman, Matan Danos, Michael Gokhman, Mor Zusman, Naama Gidron, Nir Ratner, Noam Gat, Noam Rozen, Oded Fried, Ohad Leshno, Omer Antverg, Omri Abend, Or Dagan, Orit Cohavi, Raz Alon, Ro'i Belson, Roi Cohen, Rom Gilad, Roman Glozman, Shahar Lev, Shai Shalev-Shwartz, Shaked Meirom, Tal Delbari, Tal Ness, Tomer Asida, Tom Ben Gal, Tom Braude, Uriya Pumerantz, Joshua Cohen, Yonatan Belinkov, Yuval Globerson, Yuval Levy, Yoav Shoham

Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent Sayan Banerjee, Krishna Balasubramanian, PROMIT GHOSAL

Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements Jingyu Zhang, Ahmed Elgohary Ghoneim, Ahmed Magooda, Daniel Khashabi, Ben Van Durme

Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity Daiyao Yi, Hao Dong, Michael Higley, Anne Churchland, Shreya Saxena

Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance Sachin Goyal, Christina Baek, Zico Kolter, Aditi Raghunathan

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, YANDONG LI, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong

Compositional simulation-based inference for time series Manuel Gloeckler, Shoji Toyota, Kenji Fukumizu, Jakob Macke

NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance Raphael Husistein, Markus Reiher, Marco Eckhoff

Cut Your Losses in Large-Vocabulary Language Models Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Krähenbühl

MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs jiarui zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski

Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages Zui Chen, Tianqiao Liu, Tongqing, Mi Tian, Weiqi Luo, Zitao Liu

Laplace Sample Information: Data Informativeness Through a Bayesian Lens Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis

Linear Transformer Topological Masking with Graph Random Features Isaac Reid, Kumar Dubey, Deepali Jain, William Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E Turner, René Wagner, Adrian Weller, Krzysztof Choromanski

Disentangling Representations through Multi-task Learning Pantelis Vafidis, Aman Bhargava, Antonio Rangel

Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng

econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians Can Zhang, Gim H Lee

PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen, Junyu Chen, Zhuoyang Zhang, Han Cai, Yao Lu, Song Han

Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? HyoJung Han, Akiko Eriguchi, Haoran Xu, Hieu Hoang, Marine Carpuat, Huda Khayrallah

On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan

LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin

What Makes a Good Diffusion Planner for Decision Making? Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li

Formation of Representations in Neural Networks Liu Ziyin, Isaac Chuang, Tomer Galanti, Tomaso Poggio

Training on the Test Task Confounds Evaluation and Emergence Ricardo Dominguez-Olmedo, Florian Eddie Dorner, Moritz Hardt

MIND: Math Informed syNthetic Dialogues for Pretraining LLMs Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, Sanjeev Satheesh, Eric Nyberg, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

Mixture Compressor for Mixture-of-Experts LLMs Gains More Wei Huang, Yue Liao, Jianhui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, XIAOJUAN QI

Generalizing Reasoning Problems to Longer Lengths Changnan Xiao, Bing Liu

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang

Reflective Gaussian Splatting Yuxuan Yao, Zixuan Zeng, Chun Gu, Xiatian Zhu, Li Zhang

Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu

Attention as a Hypernetwork Simon Schug, Seijin Kobayashi, Yassir Akram, Joao Sacramento, Razvan Pascanu

Flow-based Variational Mutual Information: Fast and Flexible Approximations Caleb Dahlke, Jason Pacheco

Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek

Boosting the visual interpretability of CLIP via adversarial fine-tuning Shizhan Gong, Haoyu LEI, Qi Dou, Farzan Farnia

HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang

TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data Jeremy Irvin, Emily Liu, Joyce Chen, Ines Dormoy, Jinyoung Kim, Samar Khanna, Zhuo Zheng, Stefano Ermon

Standardizing Structural Causal Models Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause

FACTS: A Factored State-Space Framework for World Modelling Li Nanbo, Firas Laakom, Yucheng XU, Wenyi Wang, Jürgen Schmidhuber

Selective Label Enhancement Learning for Test-Time Adaptation Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu

DICE: Data Influence Cascade in Decentralized Learning Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma

Strong Preferences Affect the Robustness of Preference Models and Value Alignment Ziwei Xu, Mohan Kankanhalli

Population Transformer: Learning Population-level Representations of Neural Activity Geeling Chau, Christopher Wang, Sabera Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji, Yisong Yue, Boris Katz, Andrei Barbu

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models Lisa Dunlap, Krishna Mandal, trevor darrell, Jacob Steinhardt, Joseph E Gonzalez

ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Humphrey Shi, Yunchao Wei

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Jixun Yao, Hexin Liu, CHEN CHEN, Yuchen Hu, Ensiong Chng, Lei Xie

On a Connection Between Imitation Learning and RLHF Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant Honavar

The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation Fredrik Carlsson, Fangyu Liu, Daniel Ward, Murathan Kurfali, Joakim Nivre

Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks? Jonathan Roberts, Kai Han, Samuel Albanie

Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs Yuzhou Chen, Yulia Gel

Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge Haomiao Xiong, Zongxin Yang, Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Jiawen Zhu, Huchuan Lu

Look Before You Leap: Universal Emergent Mechanism for Retrieval in Language Models Alexandre Variengien, Eric Winsor

Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos Gengshan Yang, Andrea Bajcsy, Shunsuke Saito, Angjoo Kanazawa

MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility Wayne Wu, Honglin He, Jack He, Yiran Wang, Chenda Duan, Zhizheng Liu, Quanyi Li, Bolei Zhou

Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models Wenxuan Zhang, Philip Torr, Mohamed Elhoseiny, Adel Bibi

Training-Free Message Passing for Learning on Hypergraphs Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong

Higher-Order Graphon Neural Networks: Approximation and Cut Distance Daniel Herbst, Stefanie Jegelka

Integrative Decoding: Improving Factuality via Implicit Self-consistency Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng CHENG, Wayne Xiong

Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions Lingjie Yi, Michael Yao, Weimin Lyu, Haibin Ling, Raphael Douady, Chao Chen

Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian

Benchmarking Agentic Workflow Generation Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Forgetting Transformer: Softmax Attention with a Forget Gate Zhixuan Lin, Evgenii Nikishin, Xu He, Aaron Courville

Precise Parameter Localization for Textual Generation in Diffusion Models Łukasz Staniszewski, Bartosz Cywiński, Franziska Boenisch, Kamil Deja, Adam Dziedzic

VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning Nilay Yilmaz, Maitreya Patel, Lawrence Luo, Tejas Gokhale, Chitta Baral, Suren Jayasuriya, 'YZ' Yezhou Yang

Sparse Learning for State Space Models on Mobile Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu

Generating Likely Counterfactuals Using Sum-Product Networks Jiří Němeček, Tomáš Pevný, Jakub Marecek

Toward Understanding In-context vs. In-weight Learning Bryan Chan, Xinyi Chen, Andras Gyorgy, Dale Schuurmans

Better autoregressive regression with LLMs via regression-aware fine-tuning Michal Lukasik, Zhao Meng, Harikrishna Narasimhan, Yin-Wen Chang, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar

Dreamweaver: Learning Compositional World Models from Pixels Junyeob Baek, Yi-Fu Wu, Gautam Singh, Sungjin Ahn

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin

General Scene Adaptation for Vision-and-Language Navigation Haodong Hong, Yanyuan Qiao, Sen Wang, Jiajun Liu, Qi Wu

RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization Hanyang Zhao, Genta Winata, Anirban Das, Shi-Xiong Zhang, David Yao, Wenpin Tang, Sambit Sahu

Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee, Seungju Cho, Changick Kim

Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free Ziyue Li, Tianyi Zhou

Can Transformers Do Enumerative Geometry? Baran Hashemi, Roderic Corominas, Alessandro Giacchetto

From Tokens to Words: On the Inner Lexicon of LLMs Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz

Associative memory and dead neurons Vladimir Fanaskov, Ivan Oseledets

Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control Xianghui Ze, Zhenbo Song, Qiwei Wang, Jianfeng Lu, Yujiao Shi

Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference under Ambiguities Zheyuan Zhang, Fengyuan Hu, Jayjun Lee, Freda Shi, Parisa Kordjamshidi, Joyce Chai, Ziqiao Ma

OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation Yuchen Lin, Chenguo Lin, Jianjin Xu, Yadong MU

GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao

TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation Mohan Xu, Kai Li, Guo Chen, Xiaolin Hu

Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Robert Hönig, Javier Rando, Nicholas Carlini, Florian Tramer

MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling Rachel Teo, Tan Nguyen

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez

Computational Explorations of Total Variation Distance Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran

Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs Minh Nguyen, Andrew Baker, Clement Neo, Allen Roush, Andreas Kirsch, Ravid Shwartz-Ziv

KAN: Kolmogorov–Arnold Networks Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Hou, Max Tegmark

ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models Jeonghoon Shim, Gyuhyeon Seo, Cheongsu Lim, Yohan Jo

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models Junyan Ye, Baichuan Zhou, Zilong Huang, Junan Zhang, Tianyi Bai, Hengrui Kang, Jun He, Honglin Lin, Zihao Wang, Tong Wu, Zhizheng Wu, Yiping Chen, Dahua Lin, Conghui He, Weijia Li

Learning Dynamics of LLM Finetuning YI REN, Danica Sutherland

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun

HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation Hanxiang Ren, Li Sun, Xulong Wang, Pei Zhou, Zewen Wu, Siyan Dong, Difan Zou, Youyi Zheng, Yanchao Yang

Aligning Visual Contrastive learning models via Preference Optimization Amirabbas Afzali, Borna khodabandeh, Ali Rasekh, Mahyar JafariNodeh, Sepehr Ranjbar, Simon Gottschalk

Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching Renjie Pan, Jihao Dong, Hua Yang

Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation Qing Wu, Chenhe Du, Xuanyu Tian, Jingyi Yu, Yuyao Zhang, Hongjiang Wei

A Sanity Check for AI-generated Image Detection Shilin Yan, Ouxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang, Yao Hu, Weidi Xie

SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark Bin Cao, Yang Liu, Zinan Zheng, Ruifeng Tan, Jia Li, Tong-Yi Zhang

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu

Endless Jailbreaks with Bijection Learning Brian R.Y. Huang, Max Li, Leonard Tang

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G Snoek, Jan-jakob Sonke, Efstratios Gavves

Causal Identification for Complex Functional Longitudinal Studies Andrew Ying

Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control Songyuan Zhang, Oswin So, Mitchell Black, Chuchu Fan

Efficient Biological Data Acquisition through Inference Set Design Ihor Neporozhnii, Julien Roy, Emmanuel Bengio, Jason Hartford

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Vladislav Kurenkov

Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang, Pei Zhang, Baosong Yang, Derek Wong, Rui Wang

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

An Effective Theory of Bias Amplification Arjun Subramonian, Samuel Bell, Levent Sagun, Elvis Dohmatob

Integral Performance Approximation for Continuous-Time Reinforcement Learning Control Brent Wallace, Jennie Si

Episodic Novelty Through Temporal Distance Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo XU, Chongjie Zhang, Qianchuan Zhao

Enhancing Learning with Label Differential Privacy by Vector Approximation Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li

Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians Ishan Amin, Sanjeev Raja, Aditi Krishnapriyan

Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang

Improving Large Language Model Planning with Action Sequence Similarity Xinran Zhao, Hanie Sedghi, Bernd Bohnet, Dale Schuurmans, Azade Nazi

Identifying latent state transitions in non-linear dynamical systems Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge, ST John, Pekka Marttinen

ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Qixiang Ye

Modeling dynamic social vision highlights gaps between deep learning and humans Kathy Garcia, Emalie McMahon, Colin Conwell, Michael Bonner, Leyla Isik

Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons Shahaf Bassan, Ron Eliav, Shlomit Gur

Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Can Pouliquen, Mathurin Massias, Titouan Vayer

OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning Xiaoqiang Wang, Bang Liu

Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models Fu-Yun Wang, Yunhao Shui, Jingtan Piao, Keqiang Sun, Hongsheng Li

Adversarial Generative Flow Network for Solving Vehicle Routing Problems Ni Zhang, Jingfeng Yang, Zhiguang Cao, Xu Chi

Efficient stagewise pretraining via progressive subnetworks Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu, Sobhan Miryoosefi, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models Chuan Liu, Chunshu Wu, shihui cao, Mingkai Chen, James Liang, Ang Li, Michael Huang, Chuang Ren, Yingnian Wu, Dongfang Liu, Tong Geng

Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun

SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration Jintao Zhang, Jia wei, Pengle Zhang, Jun Zhu, Jianfei Chen

Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL Claas Voelcker, Marcel Hussing, ERIC EATON, Amir-massoud Farahmand, Igor Gilitschenski

Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis Hongkang Li, Songtao Lu, Pin-Yu Chen, Xiaodong Cui, Meng Wang

Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount Yanbiao Ma, Wei Dai, Jiayi Chen

MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA Hanrong Ye, Haotian Zhang, Erik Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang

Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis Qi Chen, Jierui Zhu, Florian Shkurti

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang

GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz

Scaling Laws for Precision Tanishq Kumar, Zachary Ankner, Benjamin Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Re, Aditi Raghunathan

Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai

Automated Proof Generation for Rust Code via Self-Evolution Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng CHENG, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou

RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning Chenglong Kang, Xiaoyi Liu, Fei Guo

TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident Yixuan Zhou, Long Bai, Sijia Cai, Bing Deng, Xing Xu, Heng Tao Shen

On Linear Representations and Pretraining Data Frequency in Language Models Jack Merullo, Noah Smith, Sarah Wiegreffe, Yanai Elazar

Learning Spatiotemporal Dynamical Systems from Point Process Observations Valerii Iakovlev, Harri Lähdesmäki

3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye HAO, Liqiang Nie

Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon-Kiwkowitz, David Harel

Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging Behrooz Tahmasebi, Stefanie Jegelka

Scalable Decentralized Learning with Teleportation Yuki Takezawa, Sebastian Stich

The Foundations of Tokenization: Statistical and Computational Concerns Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell

Online Clustering with Nearly Optimal Consistency T-H. Hubert Chan, Shaofeng Jiang, Tianyi Wu, Mengshi Zhao

MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models Mohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, Mahdi Soltanolkotabi

$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models Yaxin Luo, Gen Luo, Jiayi Ji, Yiyi Zhou, Xiaoshuai Sun, Zhiqiang Shen, Rongrong Ji

Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula Youssef Shehata, Benjamin Holzschuh, Nils Thuerey

DisPose: Disentangling Pose Guidance for Controllable Human Image Animation Hongxiang Li, Yaowei Li, Yuhang Yang, Junjie Cao, Zhihong Zhu, Xuxin Cheng, Long Chen

Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification Wen Wen, Han Li, Tieliang Gong, Hong Chen

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search Huajian Xin, Z.Z. Ren, Junxiao Song, Zhihong Shao, Wanjia Zhao, Haocheng Wang, Bo Liu, Liyue Zhang, Xuan Lu, Qiushi Du, Wenjun Gao, Haowei Zhang, Qihao Zhu, Dejian Yang, Zhibin Gou, Z.F. Wu, Fuli Luo, Chong Ruan

Vertical Federated Learning with Missing Features During Training and Inference Pedro Valdeira, Shiqiang Wang, Yuejie Chi

Large Convolutional Model Tuning via Filter Subspace Wei Chen, Zichen Miao, Qiang Qiu

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos Theodorou, Molei Tao

EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing Haotian Sun, Tao Lei, Bowen Zhang, Yanghao Li, Haoshuo Huang, Ruoming Pang, Bo Dai, Nan Du

Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering Sheng Liu, Haotian Ye, James Y Zou

Contrastive Learning from Synthetic Audio Doppelgängers Manuel Cherep, Nikhil Singh

Learning Interleaved Image-Text Comprehension in Vision-Language Large Models Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji

Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn

Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar

Multi-Scale Fusion for Object Representation Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen

A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems Shulan Zhu, Chenglong Bao, Defeng Sun, Yancheng Yuan

Generating Graphs via Spectral Diffusion GIORGIA MINELLO, Alessandro Bicciato, Luca Rossi, Andrea Torsello, Luca Cosmo

ParetoFlow: Guided Flows in Multi-Objective Optimization Ye Yuan, Can Chen, Christopher Pal, Xue Liu

Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen

State Space Models are Provably Comparable to Transformers in Dynamic Token Selection Naoki Nishikawa, Taiji Suzuki

RaSA: Rank-Sharing Low-Rank Adaptation Zhiwei He, Zhaopeng Tu, Xing Wang, Xingyu Chen, Zhijie Wang, Jiahao Xu, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang

Probing the Latent Hierarchical Structure of Data via Diffusion Models Antonio Sclocchi, Alessandro Favero, Noam Levi, Matthieu Wyart

ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention Qiuhao Zeng, Jierui Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang

Bayesian Analysis of Combinatorial Gaussian Process Bandits Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani

Direct Distributional Optimization for Provable Alignment of Diffusion Models Ryotaro Kawata, Kazusato Oko, Atsushi Nitanda, Taiji Suzuki

How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations Siddhartha Gairola, Moritz Böhle, Francesco Locatello, Bernt Schiele

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering Ziyu Zhao, tao shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu

Inference Scaling for Long-Context Retrieval Augmented Generation Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky

Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning Md Rifat Arefin, Gopeshh Raaj Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal

No Preference Left Behind: Group Distributional Preference Optimization Binwei Yao, Zefan Cai, Yun-Shiuan Chuang, Shanglin Yang, Ming Jiang, Diyi Yang, Junjie Hu

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Qiu Jiantao, Lei Cao, Ju Fan, Ye Yuan, Guoren Wang, Conghui He

LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris Metaxas

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung Park

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers Shijie Chen, Bernal Jimenez Gutierrez, Yu Su

PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores Guangyi Wang, Yuren Cai, lijiang Li, Wei Peng, Song-Zhi Su

Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong

Bayesian Experimental Design Via Contrastive Diffusions Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes

AI Sandbagging: Language Models can Strategically Underperform on Evaluations Teun van der Weij, Felix Hofstätter, Oliver Jaffe, Samuel Brown, Francis Ward

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo, Hui Xiong

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations Katie Matton, Robert Ness, John Guttag, Emre Kiciman

Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion Harel Mendelman, Ronen Talmon

Towards hyperparameter-free optimization with differential privacy Ruixuan Liu, Zhiqi Bu

NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions Tue Cao, Nhat Hoang-Xuan, Hieu Pham, Phi Le Nguyen, My Thai

Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets Xu Wang, Fuyou Miao, Wenjie Liu, Yan Xiong

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model Yue Zhang, Zhiyang Xu, Ying Shen, Parisa Kordjamshidi, Lifu Huang

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing MUDE HUI, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Cihang Xie, Yuyin Zhou

Hyperbolic Genome Embeddings Raiyan Khan, Philippe Chlenski, Itsik Pe'er

Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

ToolGen: Unified Tool Retrieval and Calling via Generation Renxi Wang, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin, Haonan Li

Regulatory DNA Sequence Design with Reinforcement Learning Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen

LeanAgent: Lifelong Learning for Formal Theorem Proving Adarsh Kumarappan, Mohit Tiwari, Peiyang Song, Robert Joseph George, Chaowei Xiao, anima anandkumar

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava

Contextualizing biological perturbation experiments through language Menghua (Rachel) Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter

Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance Dimitris Oikonomou, Nicolas Loizou

Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis Luofeng Liao, Christian Kroer, Sergei Leonenkov, Okke Schrijvers, Liang Shi, Nicolas Stier-Moses, Congshan Zhang

Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li, Yuanzhi Li

Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen (Eric) Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton

Diffusion Models Are Real-Time Game Engines Dani Valevski, Yaniv Leviathan, Moab Arar, Shlomi Fruchter

Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion Chaodong Xiao, Minghan Li, zhengqiang ZHANG, Deyu Meng, Lei Zhang

Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Arik, Tomas Pfister

Event-Driven Online Vertical Federated Learning Ganyu Wang, Boyu Wang, Bin Gu, Charles Ling

Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction Zilin Fang, David Hsu, Gim H Lee

Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors Sungyoon Lee, Sokbae Lee

P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS Malyaban Bal, Abhronil Sengupta

Holistically Evaluating the Environmental Impact of Creating Language Models Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge

MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment Yuancheng Xu, Udari Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh

Can One Modality Model Synergize Training of Other Modality Models? Jae-Jun Lee, Sung Whan Yoon

nGPT: Normalized Transformer with Representation Learning on the Hypersphere Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg

Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs Zhaowei Zhang, Fengshuo Bai, Qizhi Chen, Chengdong Ma, Mingzhi Wang, Haoran Sun, Zilong Zheng, Yaodong Yang

Temporal Reasoning Transfer from Text to Video Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu

Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis Jinbin Bai, Tian Ye, Wei Chow, Enxin Song, Qing-Guo Chen, Xiangtai Li, Zhen Dong, Lei Zhu, Shuicheng YAN

Lightweight Neural App Control Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye HAO, Jun Wang, Kun Shao

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun

A new framework for evaluating model out-of-distribution generalisation for the biochemical domain Raul Fernandez-Diaz, Hoang Thanh Lam, Vanessa Lopez, Denis Shields

Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Aleksandr Korotin

Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz

Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension Jingcheng Ke, Jun-Cheng Chen, I-Hong Jhuo, Chia-Wen Lin, Yen-Yu Lin

GRAIN: Exact Graph Reconstruction from Gradients Maria Drencheva, Ivo Petrov, Maximilian Baader, Dimitar I. Dimitrov, Martin Vechev

Diffusion Feedback Helps CLIP See Better Wenxuan Wang, Quan Sun, Fan Zhang, Yepeng Tang, Jing Liu, Xinlong Wang

Large Scale Knowledge Washing Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian McAuley

Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection Chuhan ZHANG, Chaoyang Zhu, Pingcheng Dong, Long Chen, Dong Zhang

CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion Shoubin Yu, Jaehong Yoon, Mohit Bansal

Union-over-Intersections: Object Detection beyond Winner-Takes-All Aritra Bhowmik, Pascal Mettes, Martin R. Oswald, Cees G Snoek

Multimodal Quantitative Language for Generative Recommendation Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian

SysBench: Can LLMs Follow System Message? Yanzhao Qin, Tao Zhang, Yanjun Shen, Wenjing Luo, sunhaoze, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin CUI

Fitting Networks with a Cancellation Trick Jiashun Jin, Jingming Wang

Improving Uncertainty Estimation through Semantically Diverse Language Generation Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter

How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning Arthur Jacot, Seok Hoan Choi, Yuxiao Wen

Policy Design in Long-run Welfare Dynamics Jiduan Wu, Rediet Abebe, Moritz Hardt, Ana-Andreea Stoica

Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions Peiyao Lai, Oren Mangoubi

Causal Graphical Models for Vision-Language Compositional Understanding Fiorenzo Parascandolo, Nicholas Moratelli, Enver Sangineto, Lorenzo Baraldi, Rita Cucchiara

From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle Kaustubh Vyas, Damien Graux, Yijun Yang, Sebastien Montella, Chenxin Diao, Wendi Zhou, Pavlos Vougiouklis, Ruofei Lai, Yang Ren, Keshuang Li, J Pan

Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment Aadirupa Saha, Pierre Gaillard

Language Models Learn to Mislead Humans via RLHF Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt, Minlie Huang, Sam Bowman, He He, Shi Feng

Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna

DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye HAO, Jun Wang, Kun Shao

UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong

Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning Xiaochuan Li, Zichun Yu, Chenyan Xiong

EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation Carl Qi, Dan Haramati, Tal Daniel, Aviv Tamar, Amy Zhang

Fast Feedforward 3D Gaussian Splatting Compression Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai

Diffusion Models are Evolutionary Algorithms Yanbo Zhang, Benedikt Hartl, Hananel Hazan, Michael Levin

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z Li

Catastrophic Failure of LLM Unlearning via Quantization Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang

Flow: Modularized Agentic Workflow Automation Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu

Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause

Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon

Causal Information Prioritization for Efficient Reinforcement Learning Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao

A Second-Order Perspective on Model Compositionality and Incremental Learning Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara

SOREL: A Stochastic Algorithm for Spectral Risks Minimization Yuze Ge, Rujun Jiang

Consistency Models Made Easy Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, Zico Kolter

On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, xulei yang, Chuan Sheng Foo, Xun Xu

Isometric Regularization for Manifolds of Functional Data Hyeongjun Heo, Seonghun Oh, JaeYong Lee, Young Min Kim, Yonghyeon Lee

Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu

TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction Yunfei Liu, Lei Zhu, Lijian Lin, Ye Zhu, Ailing Zhang, Yu Li

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding Jiquan Wang, Sha Zhao, Zhiling Luo, Yangxuan Zhou, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan

Efficient Cross-Episode Meta-RL Gresa Shala, André Biedenkapp, Pierre Krack, Florian Walter, Josif Grabocka

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Yu, Tianlong Chen

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip Yu

Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon USVSN Sai Prashanth, Alvin Deng, Kyle O'Brien, Jyothir S V, Mohammad Aflah Khan, Jaydeep Borkar, Christopher Choquette-Choo, Jacob Fuehne, Stella R Biderman, Tracy Ke, Katherine Lee, Naomi Saphra

Accelerating Diffusion Transformers with Token-wise Feature Caching Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang

It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy

GLOMA: Global Video Text Spotting with Morphological Association Han Wang, Yanjie Wang, Yang Li, Can Huang

The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling

TeaserGen: Generating Teasers for Long Documentaries Weihan Xu, Paul Pu Liang, Haven Kim, Julian McAuley, Taylor Berg-Kirkpatrick, Hao-Wen (Herman) Dong

MotionClone: Training-Free Motion Cloning for Controllable Video Generation Pengyang Ling, Jiazi Bu, Pan Zhang, Xiaoyi Dong, Yuhang Zang, Tong Wu, Huaian Chen, Jiaqi Wang, Yi Jin

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second Alexey Bochkovskiy, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan Richter, Vladlen Koltun

Cached Multi-Lora Composition for Multi-Concept Image Generation Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao

Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids Tianyuan Jin, Qin Zhang, Dongruo Zhou

Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill

GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering Hongze CHEN, Zehong Lin, Jun Zhang

Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning Linjiajie Fang, Ruoxue Liu, Jing Zhang, Wenjia Wang, Bingyi Jing

Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization Jui-Nan Yen, Si Si, Zhao Meng, Felix Yu, Venkata Sai Surya Subramanyam Duvvuri, Inderjit Dhillon, Cho-Jui Hsieh, Sanjiv Kumar

Epistemic Monte Carlo Tree Search Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan, Wendelin Boehmer

Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling Timothee Leleu, Sam Reifenstein

On-the-fly Preference Alignment via Principle-Guided Decoding Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao

Controlled LLM Decoding via Discrete Auto-regressive Biasing Patrick Pynadath, Ruqi Zhang

ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui

Connecting Federated ADMM to Bayes Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez

Distilling Dataset into Neural Field Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-chul Moon

Adversarial Mixup Unlearning Zhuoyi Peng, Yixuan Tang, Yi Yang

Kolmogorov-Arnold Transformer Xingyi Yang, Xinchao Wang

Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation Yan Sun, Stanley Kok

ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences Yuxin Wang, Xiaomeng Zhu, Weimin Lyu, Saeed Hassanpour, Soroush Vosoughi

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks Danni Yuan, Mingda Zhang, Shaokui Wei, Li Liu, Baoyuan Wu

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization Bhavya, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza

IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning Quan Zhang, Yuxin Qi, Xi Tang, Jinwei Fang, Xi Lin, Ke Zhang, Chun Yuan

TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice Shen Yan, Xingyan Bin, Sijun Zhang, Yisen Wang, Zhouchen Lin

Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters Roberto Garcia, Jerry Liu, Daniel Sorvisto, Sabri Eyuboglu

Revisiting Large-Scale Non-convex Distributionally Robust Optimization Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou

Horizon Generalization in Reinforcement Learning Vivek Myers, Catherine Ji, Benjamin Eysenbach

FaceShot: Bring Any Character into Life Junyao Gao, Yanan Sun, Fei Shen, Xin Jiang, Zhening Xing, Kai Chen, Cai Zhao

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin

FreSh: Frequency Shifting for Accelerated Neural Representation Learning Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemysław Spurek

Improved Sampling Algorithms for Lévy-Itô Diffusion Models Vadim Popov, Assel Yermekova, Tasnima Sadekova, Artem Khrapov, Mikhail Kudinov

Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning Mianchu Wang, Yue Jin, Giovanni Montana

The Geometry of Categorical and Hierarchical Concepts in Large Language Models Kiho Park, Yo Joong Choe, Yibo Jiang, Victor Veitch

On Rollouts in Model-Based Reinforcement Learning Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe

Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure Samet Demir, Zafer Dogan

Test-time Adaptation for Cross-modal Retrieval with Query Shift Haobin Li, Peng Hu, Qianjun Zhang, Xi Peng, XitingLiu, Mouxing Yang

MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li

SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li

SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation Yining Hong, Beide Liu, Maxine Wu, Yuanhao Zhai, Kai-Wei Chang, Linjie Li, Kevin Lin, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, Yingnian Wu, Lijuan Wang

NRGBoost: Energy-Based Generative Boosted Trees João Bravo

MotherNet: Fast Training and Inference via Hyper-Network Transformers Andreas Mueller, Carlo Curino, Raghu Ramakrishnan

Self-Improvement in Language Models: The Sharpening Mechanism Audrey Huang, Adam Block, Dylan Foster, Dhruv Rohatgi, Cyril Zhang, Max Simchowitz, Jordan Ash, Akshay Krishnamurthy

Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents Bolun Sun, Yifan Zhou, Haiyun Jiang

GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting Changkun Liu, Shuai Chen, Yash Bhalgat, Siyan HU, Ming Cheng, Zirui Wang, Victor Prisacariu, Tristan Braud

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao

Reasoning Elicitation in Language Models via Counterfactual Feedback Alihan Hüyük, Xinnuo Xu, Jacqueline Maasch, Aditya Nori, Javier Hernandez

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models Seyedmorteza Sadat, Manuel Kansy, Otmar Hilliges, Romann Weber

AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection Wei Dai, Jicong Fan

Elliptic Loss Regularization Ali Hasan, Haoming Yang, Yuting Ng, VAHID TAROKH

EmbedLLM: Learning Compact Representations of Large Language Models Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran

AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption Joonsung Jeon, Woo Jae Kim, Suhyeon Ha, Sooel Son, Sung-eui Yoon

Projection Head is Secretly an Information Bottleneck Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang

EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos Jilan Xu, Yifei Huang, Baoqi Pei, Junlin Hou, Qingqiu Li, Guo Chen, Yuejie Zhang, Rui Feng, Weidi Xie

Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models Zeyu Yang, Zijie Pan, Chun Gu, Li Zhang

In vivo cell-type and brain region classification via multimodal contrastive learning Han Yu, Hanrui Lyu, YiXun Xu, Charlie Windolf, Eric Lee, Fan Yang, Andrew Shelton, Olivier Winter, International Brain Laboratory, Eva Dyer, Chandramouli Chandrasekaran, Nicholas Steinmetz, Liam Paninski, Cole Hurwitz

ReMatching Dynamic Reconstruction Flow Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon

X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention XiaoChen Zhao, Hongyi Xu, Guoxian Song, You Xie, Chenxu Zhang, Xiu Li, Linjie Luo, Jinli Suo, Yebin Liu

Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino, Tobias Pfaff, Nils Thuerey

Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks Bhaskar Mukhoty, Hilal AlQuabeh, Bin Gu

Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions Sagar Shrestha, Xiao Fu

AutoG: Towards automatic graph construction from tabular data Zhikai Chen, Han Xie, Jian Zhang, Xiang song, Jiliang Tang, Huzefa Rangwala, George Karypis

Privacy-Aware Lifelong Learning Ozan Özdenizci, Elmar Rueckert, Robert Legenstein

Human-inspired Episodic Memory for Infinite Context LLMs Zafeirios Fountas, Martin A Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou Ammar, Jun Wang

ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample $V$-Ensemble Tianyuan Chen, Ronglong Cai, Faguo Wu, Xiao Zhang

Diffusion Policy Policy Optimization Allen Ren, Justin Lidard, Lars Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu

Range, not Independence, Drives Modularity in Biologically Inspired Representations Will Dorrell, Kyle Hsu, Luke Hollingsworth, Jin Hwa Lee, Jiajun Wu, Chelsea Finn, Peter Latham, Timothy Behrens, James Whittington

3D-Properties: Identifying Challenges in DPO and Charting a Path Forward Yuzi Yan, Yibo Miao, Jialian Li, YipinZhang, Jian Xie, Zhijie Deng, Dong Yan

Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization Hao Dong, Eleni Chatzi, Olga Fink

R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li

Asymmetric Factorized Bilinear Operation for Vision Transformer Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu

Federated Domain Generalization with Data-free On-server Matching Gradient Binh Nguyen, Minh-Duong Nguyen, Jinsun Park, Viet Pham, Won-Joo Hwang

Valid Conformal Prediction for Dynamic GNNs Ed Davis, Ian Gallagher, Daniel Lawson, Patrick Rubin-Delanchy

Black-Box Detection of Language Model Watermarks Thibaud Gloaguen, Nikola Jovanović, Robin Staab, Martin Vechev

In-Context Editing: Learning Knowledge from Self-Induced Distributions Siyuan Qi, Bangcheng Yang, Kailin Jiang, Xiaobo Wang, Jiaqi Li, Yifan Zhong, Yaodong Yang, Zilong Zheng

Anti-Exposure Bias in Diffusion Models Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

Credit-based self organizing maps: training deep topographic networks with minimal performance degradation Amir Ozhan Dehghani, Xinyu Qian, Asa Farahani, Pouya Bashivan

Aligning Human Motion Generation with Human Perceptions Haoru Wang, Wentao Zhu, Luyi Miao, Yishu Xu, Feng Gao, Qi Tian, Yizhou Wang

Wavelet-based Positional Representation for Long Context Yui Oka, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito

Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning Calarina Muslimani, Matthew E Taylor

Solving hidden monotone variational inequalities with surrogate losses Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel

Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, Andrew Bagdanov

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents Haiyang SHEN, Yue Li, Desong Meng, Dongqi Cai, Sheng Qi, Li Zhang, Mengwei Xu, Yun Ma

Satisficing Regret Minimization in Bandits Qing Feng, Tianyi Ma, Ruihao Zhu

MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer Yilin Wang, chuan guo, Yuxuan Mu, Muhammad Gohar Javed, Xinxin Zuo, Juwei Lu, Hai Jiang, Li Cheng

BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments Xinghao Wang, Pengyu Wang, Bo Wang, Dong Zhang, Yunhua Zhou, Xipeng Qiu

Test-time Adaptation for Regression by Subspace Alignment Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong

TabM: Advancing tabular deep learning with parameter-efficient ensembling Yury Gorishniy, Akim Kotelnikov, Artem Babenko

Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games? Yuheng Li, Wang Panpan, Haipeng Chen

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models Javier Ferrando, Oscar Obeso, Senthooran Rajamanoharan, Neel Nanda

Unhackable Temporal Reward for Scalable Video MLLMs En Yu, Kangheng Lin, Liang Zhao, Yana Wei, Zining Zhu, Haoran Wei, Jianjian Sun, Zheng Ge, Xiangyu Zhang, Jingyu Wang, Wenbing Tao

LLMs Can Plan Only If We Tell Them Bilgehan Sel, Ruoxi Jia, Ming Jin

RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation Chenxi Zheng, Yihong Lin, Bangzhen Liu, Xuemiao Xu, Yongwei Nie, Shengfeng He

Exploring a Principled Framework for Deep Subspace Clustering Xianghan Meng, Zhiyuan Huang, Wei He, Xianbiao Qi, Rong Xiao, Chun-Guang Li

Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems Tian Ye, Zicheng Xu, Yuanzhi Li, Zeyuan Allen-Zhu

Simplifying Deep Temporal Difference Learning Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja, Jakob Foerster, Mario Martin

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation HAN SUN, Rui Gong, Ismail Nejjar, Olga Fink

Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation Byungjai Kim, Chanho Ahn, Wissam Baddar, Kikyung Kim, HUIJIN LEE, Saehyun Ahn, Seungju Han, Sungjoo Suh, Eunho Yang

Deep Learning Alternatives Of The Kolmogorov Superposition Theorem Leonardo Ferreira Guilhoto, Paris Perdikaris

Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen, Yihong Luo, Yifan Song, Pengwen Dai, Jing Tang, Xiaochun Cao

Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hanna Hajishirzi, Ashish Sabharwal

Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning Jiajun Chai, Sicheng Li, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu

ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yingzhe He, Jie Shi, Xiaolin Hu

Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation Tianyi Bao, Xinyu Ye, Hang Ruan, Chang Liu, Wenjie Wu, Junchi Yan

Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach

Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting Yu Liu, Baoxiong Jia, Ruijie Lu, Junfeng Ni, Song-Chun Zhu, Siyuan Huang

Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data Seiji Maekawa, Hayate Iso, Nikita Bhutani

Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari, Omer Gottesman, George D Konidaris

MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow Hanzhuo Huang, Yuan Liu, Ge Zheng, Jiepeng Wang, Zhiyang Dou, Sibei Yang

ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding Zhengzhuo Xu, Bowen Qu, Yiyan Qi, SiNan Du, Chengjin Xu, Chun Yuan, Jian Guo

On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu

A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals Grace Liu, Michael Tang, Benjamin Eysenbach

Lightweight Predictive 3D Gaussian Splats Junli Cao, Vidit Goel, Chaoyang Wang, Anil Kag, Ju Hu, Sergei Korolev, Chenfanfu Jiang, Sergey Tulyakov, Jian Ren

CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang

Uncovering Gaps in How Humans and LLMs Interpret Subjective Language Erik Jones, Arjun Patrawala, Jacob Steinhardt

RESuM: A Rare Event Surrogate Model for Physics Detector Design Ann-Kathrin Schuetz, Alan Poon, Aobo Li

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics Qinshuo Liu, Weiqin Zhao, Wei Huang, Yanwen Fang, Lequan Yu, Guodong Li

Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs Bowen Gao, Haichuan Tan, Yanwen Huang, Minsi Ren, Xiao Huang, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan

UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models Xin Xu, Jiaxin ZHANG, Tianhao Chen, Zitong Chao, Jishan Hu, Can Yang

Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling Wei Guo, Molei Tao, Yongxin Chen

Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning Chongjie Si, Zhiyi Shi, Shifan Zhang, Xiaokang Yang, Hanspeter Pfister, Wei Shen

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation Zhengrui Guo, Fangxu Zhou, Wei Wu, Qichen Sun, Lishuang Feng, Jinzhuo Wang, Hao CHEN

Solving Video Inverse Problems Using Image Diffusion Models Taesung Kwon, Jong Chul YE

Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Aviral Kumar, Rishabh Agarwal, Sridhar Thiagarajan, Craig Boutilier, Aleksandra Faust

Descent with Misaligned Gradients and Applications to Hidden Convexity Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit

SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction Lu Dai, Yijie Xu, Jinhui Ye, Hao Liu, Hui Xiong

Attributing Culture-Conditioned Generations to Pretraining Corpora Huihan Li, Arnav Goel, Keyu He, Xiang Ren

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats L. Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates Xiuchuan Li, Jun Wang, Tongliang Liu

ProtPainter: Draw or Drag Protein via Topology-guided Diffusion Zhengxi Lu, Shizhuo Cheng, Yuru Jiang, Yan Zhang, Min Zhang

UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation Huimin LU, Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, Zico Kolter, Matt Fredrikson, Yarin Gal, Xander Davies

Disentangled Representation Learning with the Gromov-Monge Gap Théo Uscidda, Luca Eyring, Karsten Roth, Fabian Theis, Zeynep Akata, marco cuturi

$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Junseo Park, Hyeryung Jang

A Truncated Newton Method for Optimal Transport Mete Kemertas, Amir-massoud Farahmand, Allan Jepson

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping

Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors Weixuan Wang, JINGYUAN YANG, Wei Peng

Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors Chen Ma, Xinjie Xu, Shuyu Cheng, Qi Xuan

Guaranteed Generation from Large Language Models Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, Marc Dymetman

Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi

To Code or Not To Code? Exploring Impact of Code in Pre-training Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet Üstün, Sara Hooker

pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation Shentong Mo, Xufang Luo, Dongsheng Li

Generating Physical Dynamics under Priors Zihan Zhou, Xiaoxue Wang, Tianshu Yu

Uncovering Overfitting in Large Language Model Editing Mengqi Zhang, Xiaotian Ye, Qiang Liu, shu wu, Pengjie Ren, Zhumin Chen

Watermark Anything With Localized Messages Tom Sander, Pierre Fernandez, Alain Oliviero Durmus, Teddy Furon, Matthijs Douze

How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings Nikolaos Nakis, Niels Raunkjær Holm, Andreas Lyhne Fiehn, Morten Mørup

Fast unsupervised ground metric learning with tree-Wasserstein distance Kira Michaela Düsterwald, Samo Hromadka, Makoto Yamada

Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Zhaopeng Tu, Tao Lin

SGD with memory: fundamental properties and stochastic acceleration Dmitry Yarotsky, Maksim Velikanov

A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence Mingyang Liu, Gabriele Farina, Asuman Ozdaglar

A Computational Framework for Modeling Emergence of Color Vision in the Human Brain Atsunobu Kotani, Yi-Ren Ng

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning Zehan Qi, Xiao Liu, Iat Long Iong, Hanyu Lai, Xueqiao Sun, Jiadai Sun, Xinyue Yang, Yu Yang, Shuntian Yao, Wei Xu, Jie Tang, Yuxiao Dong

AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials Yiheng Xu, Dunjie Lu, Zhennan Shen, Junli Wang, Zekun Wang, Yuchen Mao, Caiming Xiong, Tao Yu

Preference Diffusion for Recommendation Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua

In-context Time Series Predictor Jiecheng Lu, Yan Sun, Shihao Yang

Multi-modal brain encoding models for multi-modal stimuli SUBBA REDDY OOTA, Khushbu Pahwa, mounika marreddy, Maneeesh Singh, Manish Gupta, Raju Surampudi Bapi

Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning Qinghao Ye, Xianhan Zeng, Fu Li, Chunyuan Li, Haoqi Fan

Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates Connor Mooney, Zhongjian Wang, Jack Xin, Yifeng Yu

Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count Hanseul Cho, Jaeyoung Cha, Srinadh Bhojanapalli, Chulhee Yun

InCoDe: Interpretable Compressed Descriptions For Image Generation Armand Comas, Aditya Chattopadhyay, Feliu Formosa, Changyu Liu, OCTAVIA CAMPS, Rene Vidal

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks Kaijing Ma, Xeron Du, Yunran Wang, Haoran Zhang, Zhoufutu Wen, Xingwei Qu, Jian Yang, JIAHENG LIU, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang

PETRA: Parallel End-to-end Training with Reversible Architectures Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon

Improving Equivariant Networks with Probabilistic Symmetry Breaking Hannah Lawrence, Vasco Portilheiro, Yan Zhang, Sékou-Oumar Kaba

Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation Laurin Lux, Alexander H Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes Paetzold

Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao

What Makes a Maze Look Like a Maze? Joy Hsu, Jiayuan Mao, Joshua B Tenenbaum, Noah Goodman, Jiajun Wu

DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni

Rationalizing and Augmenting Dynamic Graph Neural Networks Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo

Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking Paria Rashidinejad, Yuandong Tian

Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Sajad Movahedi, Antonio Orvieto, Seyed-Mohsen Moosavi-Dezfooli

PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization André Hottung, Mridul Mahajan, Kevin Tierney

SMITE: Segment Me In TimE Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari, Andrea Tagliasacchi, Ghassan Hamarneh, Ali Mahdavi Amiri

OptionZero: Planning with Learned Options Po-Wei Huang, Pei-Chiun Peng, Hung Guei, Ti-Rong Wu

QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph Lim

Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images In-Hwan Jin, Haesoo Choo, Seong-Hun Jeong, Heemoon Park, Junghwan Kim, Oh-joon Kwon, Kyeongbo Kong

Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang

PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer Pierre-David Letourneau, Manish Singh, Hsin-Pai Cheng, Shizhong Han, Yunxiao Shi, Dalton Jones, Matthew Langston, Hong Cai, Fatih Porikli

A Statistical Approach for Controlled Training Data Detection Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao

Ranking-aware adapter for text-driven image ordering with CLIP Wei-Hsiang Yu, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai

Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control Sunguk Shin, Youngjoon Kim

DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation Jing He, Haodong Li, huyongzhe, Guibao Shen, Yingjie CAI, Weichao Qiu, YINGCONG CHEN

WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning Xiangyu Zhao, Zhiwang Zhou, Wenlong Zhang, Yihao Liu, Xiangyu Chen, Junchao Gong, Hao Chen, Ben Fei, Shiqi Chen, Wanli Ouyang, Xiao-Ming Wu, LEI BAI

HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts Hongjun Wang, Sagar Vaze, Kai Han

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Weihao Zeng, Yuzhen Huang, Lulu Zhao, Yijun Wang, Zifei Shan, Junxian He

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc

Object-Centric Pretraining via Target Encoder Bootstrapping Nikola Đukić, Tim Lebailly, Tinne Tuytelaars

Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax Ivan Butakov, Alexander Semenenko, Alexander Tolmachev, Andrey Gladkov, Marina Munkhoeva, Alexey Frolov

Transformers are Universal In-context Learners Takashi Furuya, Maarten V de Hoop, Gabriel Peyré

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou

Differentially private optimization for non-decomposable objective functions Weiwei Kong, Andres Munoz medina, Mónica Ribero

On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh, Pradeep Varakantham, Peter Vamplew

Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization Yury Demidovich, Petr Ostroukhov, Grigory Malinovsky, Samuel Horváth, Martin Takáč, Peter Richtarik, Eduard Gorbunov

Eliciting Human Preferences with Language Models Belinda Li, Alex Tamkin, Noah Goodman, Jacob Andreas

HaDeMiF: Hallucination Detection and Mitigation in Large Language Models Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye, Shikun Zhang

Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee

Controllable Context Sensitivity and the Knob Behind It Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell

Order-aware Interactive Segmentation Bin Wang, Anwesa Choudhuri, Meng Zheng, Zhongpai Gao, Benjamin Planche, Andong Deng, Qin Liu, Terrence Chen, Ulas Bagci, Ziyan Wu

Deep Networks Learn Features From Local Discontinuities in the Label Function Prithaj Banerjee, Harish G Ramaswamy, Mahesh Yadav, CHANDRA SHEKAR LAKSHMINARAYANAN

Grokking at the Edge of Numerical Stability Lucas Prieto, Melih Barsbey, Pedro Mediano, Tolga Birdal

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation Nikolai Kalischek, Michael Oechsle, Fabian Manhardt, Philipp Henzler, Konrad Schindler, Federico Tombari

LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun MA, Chunyuan Li

RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs Xi Xie, Yuebo Luo, Hongwu Peng, Caiwen Ding

MuHBoost: Multi-Label Boosting For Practical Longitudinal Human Behavior Modeling Nguyen Thach, Patrick Habecker, Anika Eisenbraun, W. Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan

Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity Yam Eitan, Yoav Gelberg, Guy Bar-Shalom, Fabrizio Frasca, Michael Bronstein, Haggai Maron

MAP: Multi-Human-Value Alignment Palette Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar

UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation Xianwei Zhuang, Zhihong Zhu, Zhichang Wang, Xuxin Cheng, Yuexian Zou

Do LLMs ``know'' internally when they follow instructions? Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley Ren, Andrew Miller, Udhyakumar Nallasamy, Jaya Narain

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport Siqi Zeng, Sixian Du, Makoto Yamada, Han Zhao

Cross-Embodiment Dexterous Grasping with Reinforcement Learning Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang

Autoregressive Pretraining with Mamba in Vision Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan Yuille, Cihang Xie

Efficient Imitation under Misspecification Nicolas Espinosa Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy

Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA Changmin Yu, Maneesh Sahani, Máté Lengyel

ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization Philipp Scholl, Katharina Bieker, Hillary Hauger, Gitta Kutyniok

Error-quantified Conformal Inference for Time Series Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou

Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy Wang, Zongqing Lu

Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization Vladimir Boza, Vladimir Macko

Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting Wei Chen, Yuxuan Liang

U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei

BANGS: Game-theoretic Node Selection for Graph Self-Training Fangxin Wang, Kay Liu, Sourav Medya, Philip Yu

SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization Hong Qian, Yiyi Zhu, Xiang Shu, Shuo Liu, Yaolin Wen, Xin An, Huakang LU, Aimin Zhou, Ke Tang, Yang Yu

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval Pengcheng Jiang, Cao (Danica) Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han

Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing Keltin Grimes, Marco Christiani, David Shriver, Marissa Connor

Diffusion Bridge Implicit Models Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets Guangqi Jiang, Yifei Sun, Tao Huang, Huanyu Li, Yongyuan Liang, Huazhe Xu

The Unreasonable Ineffectiveness of the Deeper Layers Andrey Gromov, Kushal Tirumala, Hassan Shapourian, Paolo Glorioso, Daniel A. Roberts

YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus Garrett Tanzer, Biao Zhang

Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation Zhi Cen, Huaijin Pi, Sida Peng, Qing Shuai, Yujun Shen, Hujun Bao, Xiaowei Zhou, Ruizhen Hu

Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems Sung Woong Cho, Hwijae Son

Think while You Generate: Discrete Diffusion with Planned Denoising Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi Jaakkola, Rafael Gomez-Bombarelli

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data Xinran Liu, Yikun Bai, Rocio Diaz Martin, Kaiwen Shi, Ashkan Shahbazi, Bennett Landman, Catie Chang, Soheil Kolouri

Mitigate the Gap: Improving Cross-Modal Alignment in CLIP Sedigheh Eslami, Gerard de Melo

Advancing Graph Generation through Beta Diffusion Xinyang Liu, Yilin He, Bo Chen, Mingyuan Zhou

Interpreting Emergent Planning in Model-Free Reinforcement Learning Thomas Bush, Stephen Chung, Usman Anwar, Adrià Garriga-Alonso, David Krueger

Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment Jinhao Jiang, Junyi Li, Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen

Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models Theo Bourdais, Houman Owhadi

Multi-Reward as Condition for Instruction-based Image Editing Xin Gu, Ming Li, Libo Zhang, Fan Chen, Longyin Wen, Tiejian Luo, Sijie Zhu

Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance Jiasheng Ye, Peiju Liu, Tianxiang Sun, Jun Zhan, Yunhua Zhou, Xipeng Qiu

PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations Qiang Liu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen, Daoyi Dong

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li

Model Risk-sensitive Offline Reinforcement Learning Gwangpyo Yoo, Honguk Woo

Scalable Extraction of Training Data from Aligned, Production Language Models Milad Nasr, Javier Rando, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher Choquette-Choo, Florian Tramer, Katherine Lee

Unlocking Point Processes through Point Set Diffusion David Lüdke, Enric Rabasseda Raventós, Marcel Kollovieh, Stephan Günnemann

R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection Zhiqiang Wu, Yingjie Liu, Hanlin Dong, Xuan Tang, Jian Yang, Bo Jin, Mingsong Chen, Xian Wei

Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman

Revisiting Random Walks for Learning on Graphs Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong

Proxy Denoising for Source-Free Domain Adaptation Song Tang, Wenxin Su, Yan Gan, Mao Ye, Jianwei Dr. Zhang, Xiatian Zhu

Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models Donghoon Kim, Minji Bae, Kyuhong Shim, Byonghyo Shim

SelKD: Selective Knowledge Distillation via Optimal Transport Perspective Liangliang Shi, Zhengyan Shi, Junchi Yan

Learning 3D Perception from Others' Predictions Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark Campbell, Kilian Weinberger, Bharath Hariharan, Wei-Lun Chao

QA-Calibration of Language Model Confidence Scores Putra Manggala, Atalanti A Mastakouri, Elke Kirschbaum, Shiva Kasiviswanathan, Aaditya Ramdas

Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, Xiang Zhou, Jingang Wang, Xunliang Cai, Peng Li

Estimating the Probabilities of Rare Outputs in Language Models Gabriel Wu, Jacob Hilton

CoMotion: Concurrent Multi-person 3D Motion Alejandro Newell, Peiyun Hu, Lahav Lipson, Stephan Richter, Vladlen Koltun

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales Zhepei Wei, Wei-Lin Chen, Yu Meng

Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos Merey Ramazanova, Alejandro Pardo, Bernard Ghanem, Motasem Alfarra

SWEb: A Large Web Dataset for the Scandinavian Languages Tobias Norlund, Tim Isbister, Amaru Cuba Gyllensten, Paul dos Santos, Danila Petrelli, Ariel Ekgren, Magnus Sahlgren

3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing Jiahua Dong, Yu-Xiong Wang

Learning to Search from Demonstration Sequences Dixant Mittal, Liwei Kang, Wee Sun Lee

Shape as Line Segments: Accurate and Flexible Implicit Surface Representation Siyu Ren, Junhui Hou

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, trevor darrell, Forrester Cole, Deqing Sun, Ming-Hsuan Yang

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Xinyu Yang, Tianqi Chen, Beidi Chen

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks Chien-yu Huang, Wei-Chih Chen, Shu-wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Chih-Kai Yang, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Fabian Ritter Gutierrez, Kuan-Po Huang, Siddhant Arora, You-Kuan Lin, CHUANG To, Eunjung Yeo, Kalvin Chang, Chung-Ming Chien, Kwanghee Choi, Cheng-Hsiu Hsieh, Yi-Cheng Lin, Chee-En Yu, I-Hsiang Chiu, Heitor Rodrigues Guimarães, Jionghao Han, Tzu-Quan Lin, Tzu-Yuan Lin, Homu Chang, Ting-Wu Chang, Chun Chen, Shou-Jen Chen, Yu-Hua Chen, Hsi-Chun Cheng, Kunal Dhawan, Jia-Lin Fang, Shi-Xin Fang, KUAN CHIANG, Chi-An Fu, Hsien-Fu Hsiao, Ching Hsu, Shao-Syuan Huang, Lee Wei, Hsi-Che Lin, Hsuan-Hao Lin, Hsuan-Ting Lin, Jian-Ren Lin, Ting-Chun Liu, Li-Chun Lu, Tsung-Min Pai, Ankita Pasad, Shih-Yun Kuan, Suwon Shon, Yuxun Tang, Yun-Shao Tsai, Wei Chiang, Tzu-Chieh Wei, Chengxi Wu, Dien-Ruei Wu, Chao-Han Huck Yang, Chieh-Chi Yang, Jia Qi Yip, Shao-Xiang Yuan, Haibin Wu, Karen Livescu, David Harwath, Shinji Watanabe, Hung-yi Lee

Scaling up Masked Diffusion Models on Text Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du

Halton Scheduler for Masked Generative Image Transformer Victor Besnier, Mickael Chen, David Hurych, Eduardo Valle, MATTHIEU CORD

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Yuxuan Zhang, Weihan Wang, Yean Cheng, Xu Bin, Xiaotao Gu, Yuxiao Dong, Jie Tang

Scale-Free Graph-Language Models Jianglin Lu, Yixuan Liu, Yitian Zhang, Yun Fu

Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold Sixin Zhang

Locality Alignment Improves Vision-Language Models Ian Covert, Tony Sun, James Y Zou, Tatsunori Hashimoto

Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures Yuchen Duan, Weiyun Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Hongsheng Li, Jifeng Dai, Wenhai Wang

Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar

Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang

Exploring the Camera Bias of Person Re-identification Myungseo Song, Jin-Woo Park, Jong-Seok Lee

Progressive Compositionality in Text-to-Image Generative Models Xu Han, Linghao Jin, Xiaofeng Liu, Paul Pu Liang

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge Angelika Romanou, Negar Foroutan, Anna Sotnikova, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Zeming Chen, Mohamed Haggag, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya K Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Islam, Perttu Isotalo, Maral Jabbarishiviari, Börje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzemiński, Gabriel de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan S Obando Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia moakhar, Ayush Tarun, Azmine Toushik Wasi, Thenuka Weerasinghe, Serhan Yilmaz, Mike Zhang, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut

Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies Sijin Chen, Omar Hagrass, Jason Klusowski

Instance-dependent Early Stopping Suqin Yuan, Runqi Lin, Lei Feng, Bo Han, Tongliang Liu

Jailbreaking as a Reward Misspecification Problem Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong

Graph-based Document Structure Analysis Yufan Chen, Ruiping Liu, Junwei Zheng, Di Wen, Kunyu Peng, Jiaming Zhang, Rainer Stiefelhagen

ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints Divij Handa, Pavel Dolin, Shrinidhi Kumbhar, Tran Son, Chitta Baral

Gradient correlation is a key ingredient to accelerate SGD with momentum Julien Hermant, Marien Renaud, Jean-François Aujol, Charles Dossal, Aude Rondepierre

Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, Michael Rabbat

Can In-context Learning Really Generalize to Out-of-distribution Tasks? Qixun Wang, Yifei Wang, Xianghua Ying, Yisen Wang

Learning Partial Graph Matching via Optimal Partial Transport Gathika Ratnayaka, James Nichols, Qing Wang

K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models Jaehyung Seo, Heuiseok Lim

Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations Thomas Tian, Kratarth Goel

Scaling Optimal LR Across Token Horizons Johan Bjorck, Alon Benhaim, Vishrav Chaudhary, Furu Wei, Xia Song

DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models Jun Zhang, Jue Wang, Huan Li, Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou

Semialgebraic Neural Networks: From roots to representations S David Mis, Matti Lassas, Maarten V de Hoop

Robotouille: An Asynchronous Planning Benchmark for LLM Agents Gonzalo Gonzalez-Pumariega, Leong Yean, Neha Sunkara, Sanjiban Choudhury

Towards Neural Scaling Laws for Time Series Foundation Models Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan

PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos Alex N. Wang, Christopher Hoang, Yuwen Xiong, Yann LeCun, Mengye Ren

Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation Jasper Dekoninck, Maximilian Baader, Martin Vechev

Computing Circuits Optimization via Model-Based Circuit Genetic Evolution Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye HAO, Mingxuan Yuan, Feng Wu

Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances Shilin Lu, Zihan Zhou, Jiayou Lu, Yuanzhi Zhu, Adams Kong

Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness Maayan Ehrenberg, Roy Ganz, Nir Rosenfeld

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Jinwoo Choi, Seung-Woo Seo

Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long

Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism Tehila Dahan, Kfir Y Levy

On the Role of Attention Heads in Large Language Model Safety Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li

Time-to-Event Pretraining for 3D Medical Imaging Zepeng Frazier Huo, Jason Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay Chaudhari, Curtis Langlotz, Nigam Shah

Mechanistic Permutability: Match Features Across Layers Nikita Balagansky, Ian Maksimov, Daniil Gavrilov

Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models Seyedmorteza Sadat, Otmar Hilliges, Romann Weber

Frame-Voyager: Learning to Query Frames for Video Large Language Models Sicheng Yu, CHENGKAI JIN, Huanyu Wang, Zhenghao Chen, Sheng JIn, ZHONGRONG ZUO, Xiaolei XU, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun

Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement Bryan Bo Cao, Lawrence OGorman, Michael Coss, Shubham Jain

Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning Yixian Zhang, Huaze Tang, Huijing Lin, Wenbo Ding

LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning Zhe Li, Weihao Yuan, Yisheng He, Lingteng Qiu, Shenhao Zhu, Xiaodong Gu, Weichao Shen, Yuan Dong, Zilong Dong, Laurence Yang

Adaptive Gradient Clipping for Robust Federated Learning Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan

Fast Uncovering of Protein Sequence Diversity from Structure Luca Alessandro Silva, Barthelemy Meynard-Piganeau, Carlo Lucibello, Christoph Feinauer

CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes Yang Liu, Chuanchen Luo, Zhongkai Mao, Junran Peng, Zhaoxiang Zhang

Detecting Backdoor Samples in Contrastive Language Image Pretraining Hanxun Huang, Sarah Erfani, Yige Li, Xingjun Ma, James Bailey

Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori, IL-MIN KIM, Guanghui Wang

Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness Shroff

DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding Henry Zheng, Hao Shi, Qihang Peng, Yong Xien Chng, Rui Huang, Yepeng Weng, zhongchao shi, Gao Huang

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji

Fantastic Copyrighted Beasts and How (Not) to Generate Them Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson

Perm: A Parametric Representation for Multi-Style 3D Hair Modeling Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Soeren Pirk, Jorge Alejandro Amador Herrera, Dominik L Michels, Tuanfeng Wang, Meng Zhang, Holly Rushmeier, Yi Zhou

OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang

Not All Language Model Features Are One-Dimensionally Linear Josh Engels, Eric Michaud, Isaac Liao, Wes Gurnee, Max Tegmark

Meta-Dynamical State Space Models for Integrative Neural Data Analysis Ayesha Vermani, Josue Nassar, Hyungju Jeon, Matthew Dowling, Il Memming Park

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies Yongxin Guo, Xiaoying Tang, Tao Lin

Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich Nax, Niao He

Training Robust Ensembles Requires Rethinking Lipschitz Continuity Ali Ebrahimpour Boroojeny, Hari Sundaram, Varun Chandrasekaran

Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish, Kumar Dubey, Snigdha Chaturvedi

Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse Arthur Jacot, Peter Súkeník, Zihan Wang, Marco Mondelli

Training-free Camera Control for Video Generation Chen Hou, Zhibo Chen

A-Bench: Are LMMs Masters at Evaluating AI-generated Images? Zicheng Zhang, Haoning Wu, Chunyi Li, Yingjie Zhou, Wei Sun, Xiongkuo Min, Zijian Chen, Xiaohong Liu, Weisi Lin, Guangtao Zhai

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-chul Moon

Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images Yubo Wang, Jianting Tang, Liu, Linli Xu

UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate Julián Tachella, Mike Davies, Laurent Jacques

MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark Sakshi, Utkarsh Tyagi, Sonal Kumar, Ashish Seth, Ramaneswaran Selvakumar, Oriol Nieto, Ramani Duraiswami, Sreyan Ghosh, Dinesh Manocha

Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models Jianqun Zhou, Yuanlei Zheng, Wei Chen, Qianqian Zheng, Shang Zeyuan, Wei Zhang, Rui Meng, Xiaoyu Shen

Multi-domain Distribution Learning for De Novo Drug Design Arne Schneuing, Ilia Igashov, Adrian Dobbelstein, Thomas Castiglione, Michael Bronstein, Bruno Correia

ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning, Eric Nalisnick, Christophe Ley, Padhraic Smyth, Thomas Hamelryck

Neuron based Personality Trait Induction in Large Language Models Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao yang, Xin Zhao, Ji-Rong Wen

Zero-Shot Natural Language Explanations Fawaz Sammani, Nikos Deligiannis

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions Nate Gillman, Daksh Aggarwal, Michael Freeman, Chen Sun

Influence-Guided Diffusion for Dataset Distillation Mingyang Chen, Jiawei Du, Bo Huang, Yi Wang, Xiaobo Zhang, Wei Wang

UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation Tao Zhang, Jinyong Wen, Zhen Chen, Kun Ding, Shiming Xiang, Chunhong Pan

Skill Expansion and Composition in Parameter Space Tenglong Liu, Jianxiong Li, Yinan Zheng, Haoyi Niu, Yixing Lan, Xin Xu, Xianyuan Zhan

Towards Scalable Topological Regularizers Wong Hiu-Tung, Darrick Lee, Hong Yan

OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune

Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang

Does Refusal Training in LLMs Generalize to the Past Tense? Maksym Andriushchenko, Nicolas Flammarion

Differentially Private Federated Learning with Time-Adaptive Privacy Spending Shahrzad Kianidehkordi, Nupur Kulkarni, Adam Dziedzic, Stark Draper, Franziska Boenisch

Robust Function-Calling for On-Device Language Model via Function Masking Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang

Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks Théophane Vallaeys, Matthew J Muckley, Jakob Verbeek, Matthijs Douze

Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao

OmniRe: Omni Urban Scene Reconstruction Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang

Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations Takashi Furuya, Koichi Taniguchi, Satoshi Okuda

Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Blanka Horvath, Frank Rudzicz

AdaWM: Adaptive World Model based Planning for Autonomous Driving Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhan Yaman, Liu Ren, Junshan Zhang

Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz

Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jing-Wen Yang, Zongqing Lu, Xiu Li

Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy Zhenghai Xue, Bo An, Shuicheng YAN

Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning Oleh Kolner, Thomas Ortner, Stanisław Woźniak, Angeliki Pantazi

PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching Daniel Rose, Oliver Wieder, Thomas Seidel, Thierry Langer

Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen, Konstantin Hess, Stefan Feuerriegel

Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu

Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid Mingxin Huang, Yuliang Liu, Dingkang Liang, Lianwen Jin, Xiang Bai

Physics of Language Models: Part 3.2, Knowledge Manipulation Zeyuan Allen-Zhu, Yuanzhi Li

PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph Dazhou Yu, Genpei Zhang, Liang Zhao

Neural Interactive Proofs Lewis Hammond, Sam Adam-Day

Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct Christopher Ackerman, Nina Panickssery

NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains Wonje Choi, Jinwoo Park, Sanghyun Ahn, Daehee Lee, Honguk Woo

DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References Xueyi Liu, Jianibieke Adalibieke, Qianwei Han, Yuzhe Qin, Li Yi

JetFormer: An autoregressive generative model of raw images and text Michael Tschannen, André Susano Pinto, Alexander Kolesnikov

The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat, Mohammad Pezeshki, Elvis Dohmatob, David Lopez-Paz, Pascal Vincent

NL-Eye: Abductive NLI For Images Mor Ventura, Michael Toker, Nitay Calderon, Zorik Gekhman, Yonatan Bitton, Roi Reichart

Realistic Evaluation of Deep Partial-Label Learning Algorithms Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama

Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang

Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition Zhong Zheng, Haochen Zhang, Lingzhou Xue

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs Oskar van der Wal, Pietro Lesci, Max Müller-Eberstein, Naomi Saphra, Hailey Schoelkopf, Willem Zuidema, Stella R Biderman

Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan

LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong

MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction Jing Yang, Minyue Jiang, Sen Yang, Xiao Tan, Yingying Li, Errui Ding, Jingdong Wang, Hanli Wang

Dataset Ownership Verification in Contrastive Pre-trained Models Yuechen Xie, Jie Song, Mengqi Xue, Haofei Zhang, Xingen Wang, Bingde Hu, Genlang Chen, Mingli Song

Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment Haoyuan Wu, Haisheng Zheng, Yuan Pu, Bei Yu

MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs Xuannan Liu, Zekun Li, Pei Li, Huaibo Huang, Shuhan Xia, Xing Cui, Linzhi Huang, Weihong Deng, Zhaofeng He

Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming Qian Li, Minghui Ouyang, Tian Ding, Yuyi Wang, Qingjiang Shi, Ruoyu Sun

Model Equality Testing: Which Model is this API Serving? Irena Gao, Percy Liang, Carlos Guestrin

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li

NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng YOU, Zhiyu Zhu, Hui LIU, Junhui Hou

Input Space Mode Connectivity in Deep Neural Networks Jakub Vrabel, Ori Shem-ur, Yaron Oz, David Krueger

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng, Shan Huang, Jianyuan Zhong, Zhengyuan Shi, Guohao Dai, Ningyi Xu, Qiang Xu

Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling Guiyu Zhang, Huan-ang Gao, Zijian Jiang, Hao Zhao, Zhedong Zheng

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Eunseop Yoon, Hee Suk Yoon, Mark Hasegawa-Johnson, Chang Yoo

Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization Zeou Hu, Yaoliang Yu

Ultra-Sparse Memory Network Zihao Huang, Qiyang Min, Hongzhi Huang, Yutao Zeng, Defa Zhu, Ran Guo, zhou Xun

Intelligence at the Edge of Chaos Shiyang Zhang, Aakash Patel, Syed Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk

PaLD: Detection of Text Partially Written by Large Language Models Eric Lei, Hsiang Hsu, Chun-Fu Chen

Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara

Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems Ruochen Jiao, Shaoyuan Xie, Justin Yue, TAKAMI SATO, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu

MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, TianQi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Ramapura Narasimha Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-yao Zhang

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, shu wu, Liang Wang

Selective induction Heads: How Transformers Select Causal Structures in Context Francesco D'Angelo, francesco croce, Nicolas Flammarion

EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing Kaizhi Zheng, Xiaotong Chen, Xuehai He, Jing Gu, Linjie Li, Zhengyuan Yang, Kevin Lin, Jianfeng Wang, Lijuan Wang, Xin Wang

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations Noga Mudrik, Ryan Ly, Oliver Ruebel, Adam Charles

UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting Haoyuan Li, Yanpeng Zhou, Tao Tang, Jifei Song, Yihan Zeng, Michael Kampffmeyer, Hang Xu, Xiaodan Liang

Towards Understanding the Universality of Transformers for Next-Token Prediction Michael Sander, Gabriel Peyré

Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu, Louis McConnell, Claudia Iriondo

Separation Power of Equivariant Neural Networks Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin

ACES: Automatic Cohort Extraction System for Event-Stream Datasets Justin Xu, Jack Gallifant, ALISTAIR JOHNSON, Matthew McDermott

PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling Junchao Gong, Siwei Tu, Weidong Yang, Ben Fei, Kun Chen, Wenlong Zhang, Xiaokang Yang, Wanli Ouyang, LEI BAI

$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang

Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics Sebastian Sanokowski, Wilhelm Berghammer, Haoyu Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner

Group Ligands Docking to Protein Pockets Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma

Locally Connected Echo State Networks for Time Series Forecasting Filip Matzner, František Mráz

ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation Ze Yang, Shichao Dong, Ruibo Li, Nan Song, Guosheng Lin

Learning Evolving Tools for Large Language Models Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang

Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks Sabrina Herbst, Sandeep Cranganore, Vincenzo De Maio, Ivona Brandić

Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers Omer Sahin Tas, Royden Wagner

Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective Andrew Jesson, Nicolas Beltran-Velez, David Blei

Test-time Alignment of Diffusion Models without Reward Over-optimization Sunwoo Kim, Minkyu Kim, Dongmin Park

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng

UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition Xiao Lin, Yuge Huang, Jianqing Xu, Yuxi Mi, Shuigeng Zhou, Shouhong Ding

Image Watermarks are Removable using Controllable Regeneration from Clean Noise Yepeng Liu, Yiren Song, Hai Ci, Yu Zhang, Haofan Wang, Mike Zheng Shou, Yuheng Bu

Controllable Generation via Locally Constrained Resampling Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck

Trajectory-Class-Aware Multi-Agent Reinforcement Learning Hyungho Na, Kwanghyeon Lee, Sumin Lee, Il-chul Moon

Compositional Entailment Learning for Hyperbolic Vision-Language Models Avik Pal, Max van Spengler, Guido D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie

OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin, Bo Zheng, Zhaochun Ren, Sheng Guo

Unbounded: A Generative Infinite Game of Character Life Simulation Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs, Michael Rubinstein, Mohit Bansal, Nataniel Ruiz

Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu

Backdooring Vision-Language Models with Out-Of-Distribution Data Weimin Lyu, Michael Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen

Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought Jianhao Huang, Zixuan Wang, Jason Lee

Edge Prompt Tuning for Graph Neural Networks Xingbo Fu, Yinhan He, Jundong Li

Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable Chenxiao Yang, Zhiyuan Li, David Wipf

An Evolved Universal Transformer Memory Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang

See What You Are Told: Visual Attention Sink in Large Multimodal Models Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang

McEval: Massively Multilingual Code Evaluation Linzheng Chai, Shukai Liu, Jian Yang, Yuwei Yin, JinKe, JIAHENG LIU, Tao Sun, Ge Zhang, Changyu Ren, Hongcheng Guo, Zekun Wang, Boyang Wang, Xianjie Wu, Bing Wang, Tongliang Li, Liqun Yang, Sufeng Duan, Zhaoxiang Zhang, Zhoujun Li

Language Guided Skill Discovery Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha

MP-Mat: A 3D-and-Instance-Aware Human Matting and Editing Framework with Multiplane Representation Siyi Jiao, Wenzheng Zeng, Yerong Li, Huayu Zhang, Changxin Gao, Nong Sang, Mike Zheng Shou

Action abstractions for amortized sampling Oussama Boussif, Léna Ezzine, Joseph Viviano, Michał Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao

InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences Chenyang Zhu, Kai Li, Yue Ma, Longxiang Tang, Chengyu Fang, Chubin Chen, Qifeng Chen, Xiu Li

Context Steering: Controllable Personalization at Inference Time Zhiyang He, Sashrika Pandey, Mariah Schrum, Anca Dragan

The KoLMogorov Test: Compression by Code Generation Ori Yoran, Kunhao Zheng, Fabian Gloeckle, Jonas Gehring, Gabriel Synnaeve, Taco Cohen

PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim, Yuji Roh, Geon Heo, Steven Whang

MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Ziyu Guo, Yichi Zhang, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Shanghang Zhang, Gao Peng, Hongsheng Li

Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence Yipei Wang, Xiaoqian Wang

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models Zhengyi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao

Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing Peter Lippmann, Gerrit Gerhartz, Roman Remme, Fred A Hamprecht

Fair Clustering in the Sliding Window Model Vincent Cohen-Addad, Shaofeng Jiang, Qiaoyuan Yang, Yubo Zhang, Samson Zhou

Can Knowledge Editing Really Correct Hallucinations? Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu

Understanding and Enhancing the Transferability of Jailbreaking Attacks Runqi Lin, Bo Han, Fengwang Li, Tongliang Liu

The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling Andre Cornman, Jacob West-Roberts, Antonio Camargo, Simon Roux, Martin Beracochea, Milot Mirdita, Sergey Ovchinnikov, Yunha Hwang

The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities Yongwei Che, Benjamin Eysenbach

FLOPS: Forward Learning with OPtimal Sampling Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng

Conservative Contextual Bandits: Beyond Linear Representations Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee

Provable weak-to-strong generalization via benign overfitting David Wu, Anant Sahai

Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni

When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings Jérémy Perez, Grgur Kovac, Corentin Léger, Cédric Colas, Gaia Molinaro, Maxime Derex, Pierre-Yves Oudeyer, Clément Moulin-Frier

Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking Cassidy Laidlaw, Shivam Singhal, Anca Dragan

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability Shufan Shen, Zhaobo Qi, Junshu Sun, Qingming Huang, Qi Tian, Shuhui Wang

Attention layers provably solve single-location regression Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer

STAR: Synthesis of Tailored Architectures Armin Thomas, Rom Parnichkun, Alexander Amini, Stefano Massaroli, Michael Poli

Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo

Is Your Video Language Model a Reliable Judge? Ming Liu, Wensheng Zhang

Towards Foundation Models for Mixed Integer Linear Programming Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li

Designing Mechanical Meta-Materials by Learning Equivariant Flows Mehran Mirramezani, Anne Meeussen, Katia Bertoldi, Peter Orbanz, Ryan P Adams

Tracking objects that change in appearance with phase synchrony Sabine Muzellec, Drew Linsley, Alekh Ashok, Ennio Mingolla, Girik Malik, Rufin VanRullen, Thomas Serre

Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer Hao Luo, Zongqing Lu

ProtoSnap: Prototype Alignment For Cuneiform Signs Rachel Mikulinsky, Morris Alper, Shai Gordin, Enrique Jiménez, Yoram Cohen, Hadar Averbuch-Elor

Improved Convergence Rate for Diffusion Probabilistic Models Gen Li, Yuchen Jiao

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu

Scaling Laws for Downstream Task Performance in Machine Translation Berivan Isik, NATALIA PONOMAREVA, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo

Benign Overfitting in Out-of-Distribution Generalization of Linear Models Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin

Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu, Chan-Hung Yu, Wei-Hsu Lee, Cheng-Wei Hung, Yen-Chun Chen, Shao-Hua Sun

Re-Imagining Multimodal Instruction Tuning: A Representation View Yiyang Liu, James Liang, Ruixiang Tang, Yugyung Lee, MAJID RABBANI, Sohail Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han

BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh

Discrete Copula Diffusion Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck

Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning Yuankai Luo, Hongkang Li, Qijiong Liu, Lei Shi, Xiao-Ming Wu

CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction Hyukjun Lim, Sun Kim, Sangseon Lee

Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments Hongjin SU, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Arik

Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra Roman Worschech, Bernd Rosenow

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs Yu-Zhe Shi, Mingchen Liu, Fanxu Meng, Qiao Xu, Zhangqian Bi, Kun He, Lecheng Ruan, Qining Wang

You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs Yihong Luo, Xiaolong Chen, Xinghua Qu, Tianyang Hu, Jing Tang

MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures Anvith Thudi, Chris Maddison

Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization XiaoHua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Li, JUN ZHOU, Xiaolin Zheng

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yian Ma, Biwei Huang

What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei

Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes Jianqi Chen, Panwen Hu, Xiaojun Chang, Zhenwei Shi, Michael Kampffmeyer, Xiaodan Liang

Concept Bottleneck Large Language Models Chung-En Sun, Tuomas Oikarinen, Berk Ustun, Tsui-Wei Weng

HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing Huaijin Wu, Lianqiang Li, Hantao Huang, Yi Tu, Jihang Zhang, Minghui Yu, Junchi Yan

Explanations of GNN on Evolving Graphs via Axiomatic Layer edges Yazheng Liu, Sihong Xie

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction Jing He, Haodong Li, Wei Yin, Yixun Liang, Leheng Li, Kaiqiang Zhou, Hongbo Zhang, Bingbing Liu, YINGCONG CHEN

BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan

Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu, Shiqiang Wang, Hans Arno Jacobsen, Yingbin Liang

Redefining the task of Bioactivity Prediction Yanwen Huang, Bowen Gao, Yinjun JIA, Hongbo Ma, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan

On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca Dragan

TRACE: Temporal Grounding Video LLM via Causal Event Modeling Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang

Ada-K Routing: Boosting the Efficiency of MoE-based LLMs Zijia Zhao, Longteng Guo, Jie Cheng, Xuange Gao, Hua Huang, Jing Liu

Towards Improving Exploration through Sibling Augmented GFlowNets Kanika Madan, Alex Lamb, Emmanuel Bengio, Glen Berseth, Yoshua Bengio

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? YiFan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin

Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe

CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha

Generalized Principal-Agent Problem with a Learning Agent Tao Lin, Yiling Chen

Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee, Jinyoung Park, Jaewon Chu, Minseo Yoon, Hyunwoo Kim

Controlling Language and Diffusion Models by Transporting Activations Pau Rodriguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, marco cuturi, Xavier Suau

Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew Saxe

Action Sequence Augmentation for Action Anticipation Yihui Qiu, Deepu Rajan

HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining Minjae Jeong, Yechan Hwang, Jaejin Lee, Sungyoon Jung, Won Hwa Kim

Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models Hulingxiao He, Geng Li, Zijun Geng, Jinglin Xu, Yuxin Peng

CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences Ziran Qin, Yuchen Cao, Mingbao Lin, Wen Hu, Shixuan Fan, Ke Cheng, Weiyao Lin, Jianguo Li

BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities Shaozhe Hao, Xuantong LIU, Xianbiao Qi, Shihao Zhao, Bojia Zi, Rong Xiao, Kai Han, Kwan-Yee K Wong

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher Zehui Chen, Kuikun Liu, Qiuchen Wang, Jiangning Liu, Wenwei Zhang, Kai Chen, Feng Zhao

MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science Erle Zhu, Yadi Liu, Zhe Zhang, Xujun Li, JinZhou, Xinjie Yu, Minlie Huang, Hongning Wang

Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu, Johan S Obando Ceron, Aaron Courville, Ling Pan

Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen, Markus Heinonen, Arno Solin

NetMoE: Accelerating MoE Training through Dynamic Sample Placement Xinyi Liu, Yujie Wang, Fangcheng Fu, Xupeng Miao, Shenhan Zhu, Xiaonan Nie, Bin CUI

Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee

LR0.FM: LOW-RESOLUTION ZERO-SHOT CLASSIFICATION BENCHMARK FOR FOUNDATION MODELS Priyank Pathak, Shyam Marjit, Shruti Vyas, Yogesh S Rawat

Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation Huan Ren, Wenfei Yang, Xiang Liu, Shifeng Zhang, Tianzhu Zhang

TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, Rene Vidal

RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim, Bryan Plummer

Measuring And Improving Persuasiveness Of Large Language Models SOMESH SINGH, Yaman Singla, Harini S I, Balaji Krishnamurthy

Predicate Hierarchies Improve Few-Shot State Classification Emily Jin, Joy Hsu, Jiajun Wu

The Value of Sensory Information to a Robot Arjun Krishna, Edward Hu, Dinesh Jayaraman

CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair Mingjie Liu, Yun-Da Tsai, Wenfei Zhou, Haoxing Ren

Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel

Deep Kernel Relative Test for Machine-generated Text Detection Yiliao Song, Zhenqiao Yuan, Shuhai Zhang, Zhen Fang, Jun Yu, Feng Liu

Gumbel Counterfactual Generation From Language Models Shauli Ravfogel, Anej Svete, Vésteinn Snæbjarnarson, Ryan Cotterell

Nonlinear multiregion neural dynamics with parametric impulse response communication channels Matthew Dowling, Cristina Savin

SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward, Mark Beaumont, Matteo Fasiolo

ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu

VTDexManip: A Dataset and Benchmark for Visual-tactile Pretraining and Dexterous Manipulation with Reinforcement Learning Qingtao Liu, Yu Cui, Zhengnan Sun, Gaofeng Li, Jiming Chen, Qi Ye

MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences Genta Winata, David Anugraha, Lucky Susanto, Garry Kuwanto, Derry Wijaya

Wasserstein Distances, Neuronal Entanglement, and Sparsity Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir Shavit

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng

Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen

Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Gaurav Patel, Christopher M. Sandino, Behrooz Mahasseni, Ellen Zippi, Erdrin Azemi, Ali Moin, Juri Minxha

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Michael Crawshaw, Blake Woodworth, Mingrui Liu

SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang

Image and Video Tokenization with Binary Spherical Quantization Yue Zhao, Yuanjun Xiong, Philipp Krähenbühl

Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Xiaoyu Yang, Jie Lu, En Yu

ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS Sujoy Bhore, Devdan Dey, Satyam Singh

InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Kovachki, Zachary Ross, Katherine Bouman, Yisong Yue

What's New in My Data? Novelty Exploration via Contrastive Generation Masaru Isonuma, Ivan Titov

Programming Refusal with Conditional Activation Steering Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre Dognin, Manish Nagireddy, Amit Dhurandhar

ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation Zongyi Li, Shujie HU, Shujie LIU, Long Zhou, Jeongsoo Choi, Lingwei Meng, Xun Guo, Jinyu Li, Hefei Ling, Furu Wei

AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Chandu, Nouha Dziri, Yejin Choi

u-$\mu$P: The Unit-Scaled Maximal Update Parametrization Charles Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Prince, Björn Deiseroth, Andres Felipe Cruz Salinas, Carlo Luschi, Samuel Weinbach, Douglas Orr

KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks Dominik Scheuer, Frederic Runge, Jörg Franke, Michael Wolfinger, Christoph Flamm, Frank Hutter

HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis Yuto Nishimura, Takumi Hirose, Masanari Ohi, Hideki Nakayama, Nakamasa Inoue

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing, Vernon Luk, Jean Oh

$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo

Eliminating Position Bias of Language Models: A Mechanistic Approach Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham Kakade, Hao Peng, Heng Ji

ReGen: Generative Robot Simulation via Inverse Design Peter (Phat) Nguyen, Johnson (Tsun-Hsuan) Wang, Zhang-Wei Hong, Erfan Aasi, Andrew Silva, Guy Rosman, Sertac Karaman, Daniela Rus

Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts Chenwei Wu, Zitao Shuai, Zhengxu Tang, Luning Wang, Liyue Shen

Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures Junxuan Wang, Xuyang Ge, Wentao Shu, Qiong Tang, Yunhua Zhou, Zhengfu He, Xipeng Qiu

HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts Mengqi Liao, Wei Chen, Junfeng Shen, Shengnan Guo, Huaiyu Wan

Training Language Models on Synthetic Edit Sequences Improves Code Synthesis Ulyana Piterbarg, Lerrel Pinto, Rob Fergus

Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds Zhiyong Wang, Dongruo Zhou, John C.S. Lui, Wen Sun

Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye

Active Learning for Continual Learning: Keeping the Past Alive in the Present Jaehyun Park, Dongmin Park, Jae-Gil Lee

Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu

MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations Yan Xie, Minrui Lv, Chen-Song Zhang

Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz

Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs Levi Rauchwerger, Stefanie Jegelka, Ron Levie

Self-Play Preference Optimization for Language Model Alignment Yue Wu, Zhiqing Sun, Rina Hughes, Kaixuan Ji, Yiming Yang, Quanquan Gu

Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation Md Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong, Eui-Nam Huh

LiveBench: A Challenging, Contamination-Limited LLM Benchmark Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Sandha, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum

Language Representations Can be What Recommenders Need: Findings and Potentials Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua

Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation Jiahao Cui, Hui Li, Yao Yao, Hao Zhu, Hanlin Shang, Kaihui Cheng, Hang Zhou, Siyu Zhu, Jingdong Wang

Efficient Inference for Large Language Model-based Generative Recommendation Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Mitigating Memorization in Language Models Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian Foster, Michael W Mahoney

Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies Lingwei Zhu, Han Wang, Yukie Nagai

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain) SUBBA REDDY OOTA, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi GNVV, Manish Shrivastava, Maneeesh Singh, Raju Surampudi Bapi, Manish Gupta

GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation Hongyin Zhang, Pengxiang Ding, Shangke Lyu, Ying Peng, Donglin Wang

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model Chaochen Gao, Xing W, Qi Fu, Songlin Hu

CONTRA: Conformal Prediction Region via Normalizing Flow Transformation Zhenhan FANG, Aixin Tan, Jian Huang

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao

MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards Sheng Wang, Liheng Chen, Pengan CHEN, Jingwei DONG, Boyang XUE, Jiyue Jiang, Lingpeng Kong, Chuan Wu

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang

Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching Zetian Jiang, Jiaxin Lu, Haizhao Fan, Tianzhe Wang, Junchi Yan

Robust Transfer of Safety-Constrained Reinforcement Learning Agents Markel Zubia, Thiago Simão, Nils Jansen

Counterfactual Realizability Arvind Raghavan, Elias Bareinboim

INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph Ningyuan Li, Haihong E, Tianyu Yao, Tianyi Hu, Yuhan Li, Haoran Luo, Meina Song, Yifan Zhu

SpinQuant: LLM Quantization with Learned Rotations Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort

Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation Yang Tian, Sizhe Yang, Jia Zeng, Ping Wang, Dahua Lin, Hao Dong, Jiangmiao Pang

Finding Shared Decodable Concepts and their Negations in the Brain Cory Efird, Alex Murphy, Joel Zylberberg, Alona Fyshe

Making Transformer Decoders Better Differentiable Indexers Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Yun Yu, Yang Song, Han Li, Kun Gai

Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective Xiangru Zhu, Penglei Sun, Yaoxian Song, Yanghua Xiao, Zhixu Li, Chengyu Wang, Jun Huang, Bei Yang, Xiaoxiao Xu

Certified Robustness Under Bounded Levenshtein Distance Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher

TorchTitan: One-stop PyTorch native solution for production ready LLM pretraining Wanchao Liang, Tianyu Liu, Less Wright, Will Constable, Andrew Gu, Chien-Chin Huang, Iris Zhang, Wei Feng, Howard Huang, Junjie Wang, Sanket Jayant Purandare, Gokul Nadathur, Stratos Idreos

Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning Yunyue Wei, Shanning Zhuang, Vincent Zhuang, Yanan Sui

Grounding Video Models to Actions through Goal Conditioned Exploration Yunhao Luo, Yilun Du

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Makoto Shing, Kou Misaki, Han Bao, Sho Yokoi, Takuya Akiba

Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning Patrick Yin, Tyler Westenbroek, Ching-An Cheng, Andrey Kolobov, Abhishek Gupta

T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design Jiachen Li, Qian Long, Jian (Skyler) Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Wang

CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale ZeMing Gong, Austin Wang, Xiaoliang Huo, Joakim Bruslund Haurum, Scott C Lowe, Graham W Taylor, Angel Chang

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals Jaden Fiotto-Kaufman, Alexander Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla Brodley, Arjun Guha, Jonathan Bell, Byron Wallace, David Bau

SFESS: Score Function Estimators for $k$-Subset Sampling Klas Wijk, Ricardo Vinuesa, Hossein Azizpour

Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention Weitai Kang, Mengxue Qu, Jyoti Kini, Yunchao Wei, Mubarak Shah, Yan Yan

Round and Round We Go! What makes Rotary Positional Encodings useful? Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Veličković

Discriminator-Guided Embodied Planning for LLM Agent Haofu Qian, Chenjia Bai, Jiatao Zhang, Fei Wu, Wei Song, Xuelong Li

From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč, Eric Moulines, Maxim Panov

Tuning Frequency Bias of State Space Models Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W Mahoney, N. Benjamin Erichson

Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping Zijian Liu, Zhengyuan Zhou

Privacy Auditing of Large Language Models Ashwinee Panda, Xinyu Tang, Christopher Choquette-Choo, Milad Nasr, Prateek Mittal

Personalized Representation from Personalized Generation Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola

GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs Dongzhuoran Zhou, Evgeny Kharlamov, Egor Kostylev

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu

Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization Audrey Huang, Wenhao Zhan, Tengyang Xie, Jason Lee, Wen Sun, Akshay Krishnamurthy, Dylan Foster

Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision Orr Zohar, Xiaohan Wang, Yonatan Bitton, Idan Szpektor, Serena Yeung

GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling Honghui Wang, Shiji Song, Gao Huang

Graph Sparsification via Mixture of Graphs Guibin Zhang, Xiangguo SUN, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan

InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping Yunchao Zhang, Guandao Yang, Leonidas Guibas, Yanchao Yang

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, Zi Huang, Yadan Luo

Discrete Latent Plans via Semantic Skill Abstractions Haobin Jiang, Wang, Zongqing Lu

Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency Jiangrong Shen, Qi Xu, Gang Pan, Badong Chen

Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information Kyungsu Lee, Haeyun Lee, Jae Youn Hwang

NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields Amandine Brunetto, Sascha Hornauer, Fabien Moutarde

Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control Gezheng Xu, Hui GUO, Li Yi, Charles Ling, Boyu Wang, Grace Yi

Ensembles of Low-Rank Expert Adapters Yinghao Li, Vianne Gao, Chao Zhang, MohamadAli Torkamani

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types Jiankang Chen, Tianke Zhang, Changyi Liu, Haojie Ding, Yaya Shi, cheng.feng, Huihui Xiao, Bin Wen, Fan Yang, Tingting Gao, Di ZHANG

Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang

Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn

Gaussian Mixture Counterfactual Generator Jong-Hoon Ahn, Akshay Vashist

Morphing Tokens Draw Strong Masked Image Models Taekyung Kim, Byeongho Heo, Dongyoon Han

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation adil kaan akan, Yucel Yemez

Diffusion Transformers for Tabular Data Time Series Generation Fabrizio Garuti, Enver Sangineto, Simone Luetto, Lorenzo Forni, Rita Cucchiara

Learning from weak labelers as constraints Vishwajeet Agrawal, Rattana Pukdee, Nina Balcan, Pradeep K Ravikumar

Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning Rui Yang, Jie Wang, Qijie Peng, Ruibo Guo, Guoping Wu, Bin Li

Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki

A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao

Ward: Provable RAG Dataset Inference via LLM Watermarks Nikola Jovanović, Robin Staab, Maximilian Baader, Martin Vechev

Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization Utku Umur Acikalin, Aaron Ferber, Carla Gomes

Towards Semantic Equivalence of Tokenization in Multimodal LLM Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng YAN

Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla, Aziz Shameem, Mathieu Salzmann, Alexandre Alahi

DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu

Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker

SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling Nikhil Vyas, Depen Morwani, Rosie Zhao, Itai Shapira, David Brandfonbrener, Lucas Janson, Sham Kakade

ComLoRA: A Competitive Learning Approach for Enhancing LoRA Qiushi Huang, Tom Ko, Lilian Tang, Yu Zhang

MamKO: Mamba-based Koopman operator for modeling and predictive control Zhaoyang Li, Minghao Han, Xunyuan Yin

Matrix Product Sketching via Coordinated Sampling Majid Daliri, Juliana Freire, Danrong Li, Christopher Musco

On the Transfer of Object-Centric Representation Learning Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer

Repetition Improves Language Model Embeddings Jacob Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan

Deep Distributed Optimization for Large-Scale Quadratic Programming Augustinos Saravanos, Hunter Kuperman, Alex Oshin, Arshiya Taj Abdul, Vincent Pacelli, Evangelos Theodorou

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu

Bisimulation Metric for Model Predictive Control Yutaka Shimizu, Masayoshi Tomizuka

MiniPLM: Knowledge Distillation for Pre-training Language Models Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang

Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan Yuille

Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation Wenhui Tan, Boyuan Li, Chuhao Jin, Wenbing Huang, Xiting Wang, Ruihua Song

Distilling Structural Representations into Protein Sequence Models Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Krähenbühl, Adam Klivans, Daniel Diaz

Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou

Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Vullikanti, Sheng Li

LoRA-Pro: Are Low-Rank Adapters Properly Optimized? Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling Shengpeng Ji, Ziyue Jiang, Wen Wang, Yifu Chen, Minghui Fang, Jialong Zuo, Qian Yang, Xize Cheng, zehan wang, Ruiqi Li, Ziang Zhang, Xiaoda Yang, Rongjie Huang, YIDI JIANG, Qian Chen, Siqi Zheng, Zhou Zhao

Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity Cedar Site Bai, Brian Bullins

Efficient Off-Policy Learning for High-Dimensional Action Spaces Fabian Otto, Philipp Becker, Vien A Ngo, Gerhard Neumann

Zero-shot forecasting of chaotic systems Yuanzhao Zhang, William Gilpin

ARB-LLM: Alternating Refined Binarizations for Large Language Models Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, zhongchao shi, Linghe Kong, Yulun Zhang, Xiaokang Yang

Energy-based Backdoor Defense Against Federated Graph Learning Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye

ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities Ezra Karger, Houtan Bastani, Chen Yueh-Han, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip E. Tetlock

The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited Floriano Tori, Vincent Holst, Vincent Ginis

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers Chenglei Si, Diyi Yang, Tatsunori Hashimoto

MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba Masakazu Yoshimura, Teruaki Hayashi, Yota Maeda

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning Zayne Sprague, Fangcong Yin, Juan Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett

Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression Juno Kim, Dimitri Meunier, Arthur Gretton, Taiji Suzuki, Zhu Li

UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li

Logic-Logit: A Logic-Based Approach to Choice Modeling Shuhan Zhang, Wendi Ren, Shuang Li

Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian

Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski

Looking into User’s Long-term Interests through the Lens of Conservative Evidential Learning Dingrong Wang, Krishna Neupane, Ervine Zheng, Qi Yu

Deep Kernel Posterior Learning under Infinite Variance Prior Weights Jorge Loría, Anindya Bhadra

AutoBencher: Towards Declarative Benchmark Construction XIANG LI, Farzaan Kaiyom, Evan Liu, Yifan Mai, Percy Liang, Tatsunori Hashimoto

ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination Xinxin Zhao, Wenzhe Cai, Likun Tang, Teng Wang

HELM: Hierarchical Encoding for mRNA Language Modeling Mehdi Yazdani-Jahromi, Mangal Prakash, Tommaso Mansi, Artem Moskalev, Rui Liao

Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning Bahare Fatemi, Seyed Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi

Robust Representation Consistency Model via Contrastive Denoising jiachen lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, anima anandkumar

Linear Mode Connectivity in Differentiable Tree Ensembles Ryuichi Kanoh, Mahito Sugiyama

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye HAO, Feng Wu

What is Wrong with Perplexity for Long-context Language Modeling? Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang

Denoising Autoregressive Transformers for Scalable Text-to-Image Generation Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Joshua Susskind, Shuangfei Zhai

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic, Xi (Nicole) Zhang, Brandon Amos, Mathieu Blanchette, Leo J Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov

PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Kai Zhang, Zhongyi Shui, Jingxiong Li, Xuan Gong, XINHENG LYU, Tao Lin, Lin Yang

X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah

Adaptive Camera Sensor for Vision Models Eunsu Baek, Sung-hwan Han, Taesik Gong, Hyung-Sin Kim

SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings Barbora Barancikova, Zhuoyue Huang, Cristopher Salvi

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models Iman Mirzadeh, Keivan Alizadeh-Vahid, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar

GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision Zihui Zhang, Yafei YANG, Hongtao Wen, Bo Yang

On the Adversarial Vulnerability of Label-Free Test-Time Adaptation Shahriar Rifat, Jonathan Ashdown, Michael De Lucia, Ananthram Swami, Francesco Restuccia

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu, Tim Xiao, Weiyang Liu, Yoshua Bengio, Dinghuai Zhang

Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization Zhitong Xu, Haitao Wang, Jeff Phillips, Shandian Zhe

Learning to Discover Regulatory Elements for Gene Expression Prediction Xingyu Su, Haiyang Yu, Degui Zhi, Shuiwang Ji

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data Phillip Si, Peng Chen

Representative Guidance: Diffusion Model Sampling with Coherence Anh-Dung Dinh, Daochang Liu, Chang Xu

Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao

OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park, Kevin Frans, Benjamin Eysenbach, Sergey Levine

EvA: Erasing Spurious Correlations with Activations Qiyuan He, Kai Xu, Angela Yao

Effective Interplay between Sparsity and Quantization: From Theory to Practice Simla Harma, Ayan Chakraborty, Elizaveta Kostenok, Danila Mishin, Dongho Ha, Babak Falsafi, Martin Jaggi, Ming Liu, Yunho Oh, Suvinay Subramanian, Amir Yazdanbakhsh

Selective Task Group Updates for Multi-Task Optimization Wooseong Jeong, Kuk-Jin Yoon

Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces Andy (DiJia) Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng

MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance Xierui Wang, Siming Fu, Qihan Huang, Wanggui He, Hao Jiang

UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping Yanjie Li, Kaisheng Liang, Bin Xiao

Variational Diffusion Posterior Sampling with Midpoint Guidance Badr MOUFAD, Yazid Janati el idrissi, Lisa Bedin, Alain Oliviero Durmus, randal douc, Eric Moulines, Jimmy Olsson

Test-time Adaptation for Image Compression with Distribution Regularization Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan, Haoliang Li

On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery Renpu Liu, Ruida Zhou, Cong Shen, Jing Yang

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model Xuehao Wang, Zhan ZHUANG, Feiyang YE, Yu Zhang

Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing Elad Romanov, Fangzhao Zhang, Mert Pilanci

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth Balasubramanian, Amit Sharma

The Same but Different: Structural Similarities and Differences in Multilingual Language Modeling Ruochen Zhang, Qinan Yu, Matianyu Zang, Carsten Eickhoff, Ellie Pavlick

Exposure Bracketing Is All You Need For A High-Quality Image Zhilu Zhang, Shuohao Zhang, Renlong Wu, Zifei Yan, Wangmeng Zuo

Longhorn: State Space Models are Amortized Online Learners Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu

Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh, Marten Lienen, David Lüdke, Leo Schwinn, Stephan Günnemann

ReAttention: Training-Free Infinite Context with Finite Attention Scope Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Qipeng Guo, Yuerong Song, Kai Lv, Hang Yan, Linlin Li, Qun Liu, Xipeng Qiu

GenXD: Generating Any 3D and 4D Scenes Yuyang Zhao, Chung-Ching Lin, Kevin Lin, Zhiwen Yan, Linjie Li, Zhengyuan Yang, Jianfeng Wang, Gim H Lee, Lijuan Wang

Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Proske, Antonio Orvieto, Aurelien Lucchi

MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun (Violet) Peng

Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, HUI WANG, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip Yu

Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness Haixin Zhong, Haoyu Wang, Wei Dai, Yuchao Huang, Mingyi Huang, Rubin Wang, Anna Roe, Yuguo Yu

Learning Randomized Algorithms with Transformers Johannes von Oswald, Seijin Kobayashi, Yassir Akram, Angelika Steger

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Song XiXuan, Yifan Xu, Shudan Zhang, Hanyu Lai, Jiadai Sun, Xinyue Yang, Yu Yang, Zehan Qi, Shuntian Yao, Xueqiao Sun, Siyi Cheng, Qinkai Zheng, Hao Yu, Hanchen Zhang, Wenyi Hong, Ming Ding, Lihang Pan, Xiaotao Gu, Aohan Zeng, Zhengxiao Du, Chan Hee Song, Yu Su, Yuxiao Dong, Jie Tang

Training-Free Diffusion Model Alignment with Sampling Demons Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng Chen

Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu

Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev

Statistical Advantages of Perturbing Cosine Router in Mixture of Experts Huy Nguyen, Pedram Akbarian Saravi, Trang Pham, Thien Trang Nguyen Vu, Shujian Zhang, Nhat Ho

Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen

Uni$^2$Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection Yubin Wang, Zhikang Zou, Xiaoqing Ye, Xiao Tan, Errui Ding, Cai Zhao

Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation Anish Abhijit Diwan, Julen Urain, Jens Kober, Jan Peters

Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang, Petr Babkin

NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions Mehak Dhaliwal, Andong Hua, Laya Pullela, Ryan Burke, Yao Qin

Do LLMs estimate uncertainty well in instruction-following? Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain

Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation Kangfu Mei, Mo Zhou, Vishal Patel

Controlling Space and Time with Diffusion Models Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David Fleet

Graph Neural Networks Can (Often) Count Substructures Paolo Pellizzoni, Till Schulz, Karsten Borgwardt

Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren, Marlena Nowaczyk

Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters Kevin Li, Sachin Goyal, João D Semedo, Zico Kolter

NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut Kandemir, Chita Das

Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images Canfer Akbulut, Kevin Robinson, Maribeth Rauh, Isabela Albuquerque, Olivia Wiles, Laura Weidinger, Verena Rieser, Yana Hasson, Nahema Marchal, Iason Gabriel, William Isaac, Lisa Hendricks

Robustness of Quantum Algorithms for Nonconvex Optimization Weiyuan Gong, Chenyi Zhang, Tongyang Li

A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation Can Rong, Jingtao Ding, Yan Liu, Yong Li

Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao

Fast Training of Sinusoidal Neural Fields via Scaling Initialization Taesun Yeom, Sangyoon Lee, Jaeho Lee

Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji

HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi

Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning Kwanyoung Park, Youngwoon Lee

A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety Hyunin Lee, Chanwoo Park, David Abel, Ming Jin

Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization Jianting Yang, Srecko Durasinovic, Jean Bernard Lasserre, Victor Magron, Jun ZHAO

Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective Yiming Liu, Kezhao Liu, Yao Xiao, ZiYi Dong, Xiaogang Xu, Pengxu Wei, Liang Lin

Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen, Till Schulz, Karsten Borgwardt

QP-SNN: Quantized and Pruned Spiking Neural Networks Wenjie Wei, Malu Zhang, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang

AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies Jian Gao, Weidong Cao, Junyi Yang, Xuan Zhang

Sensor-Invariant Tactile Representation Harsh Gupta, Yuchen Mo, Shengmiao Jin, Wenzhen Yuan

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang, Haotian Tang, Muyang Li, Song Han

MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations Hongyu Ke, Jack Morris, Kentaro Oguchi, Xiaofei Cao, Yongkang Liu, Haoxin Wang, Yi Ding

Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling Yuzhe YAO, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang

PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction Shangyu Chen, Zizheng Pan, Jianfei Cai, Dinh Phung

O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions Gen Li, Yuling Yan

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games Davide Paglieri, Bartłomiej Cupiał, Samuel Coward, Ulyana Piterbarg, Maciej Wołczyk, Akbir Khan, Eduardo Pignatelli, Łukasz Kuciński, Lerrel Pinto, Rob Fergus, Jakob Foerster, Jack Parker-Holder, Tim Rocktaeschel

MAESTRO: Masked Encoding Set Transformer with Self-Distillation Matthew Lee, Jaesik Kim, Matei Ionita, Jonghyun Lee, Michelle McKeague, YONGHYUN NAM, Irene Khavin, Yidi Huang, Victoria Fang, Sokratis Apostolidis, Divij Mathew, Shwetank, Ajinkya Pattekar, Zahabia Rangwala, Amit Bar-Or, Benjamin Fensterheim, Benjamin Abramoff, Rennie Rhee, Damian Maseda, Allison Greenplate, John Wherry, Dokyoon Kim

Teaching Human Behavior Improves Content Understanding Abilities Of VLMs SOMESH SINGH, Harini S I, Yaman Singla, Changyou Chen, Rajiv Ratn Shah, Veeky Baths, Balaji Krishnamurthy

Forget the Data and Fine-Tuning! Just Fold the Network to Compress Dong Wang, Haris Šikić, Lothar Thiele, Olga Saukh

Neural networks on Symmetric Spaces of Noncompact Type Xuan Son Nguyen, Yang, Aymeric Histace

Operator Deep Smoothing for Implied Volatility Ruben Wiedemann, Antoine (Jack) Jacquier, Lukas Gonon

Homomorphism Counts as Structural Encodings for Graph Learning Linus Bao, Emily Jin, Michael Bronstein, Ismail I Ceylan, Matthias Lanzinger

On the Price of Differential Privacy for Hierarchical Clustering Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang, Samson Zhou

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun

Denoising Levy Probabilistic Models Dario Shariatian, Umut Simsekli, Alain Oliviero Durmus

Minimal Impact ControlNet: Advancing Multi-ControlNet Integration Shikun Sun, Min Zhou, Zixuan Wang, Xubin Li, Tiezheng Ge, Zijie Ye, Xiaoyu Qin, Junliang Xing, Bo Zheng, Jia Jia

MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors Qingming LIU, Yuan Liu, Jiepeng Wang, Xianqiang Lyu, Peng Wang, Wenping Wang, Junhui Hou

MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba Seyedarmin Azizi, Souvik Kundu, Mohammad Sadeghi, Massoud Pedram

Quantifying Generalization Complexity for Large Language Models Zhenting Qi, Hongyin Luo, Xuliang Huang, Zhuokai Zhao, Yibo Jiang, Xiangjun Fan, Hima Lakkaraju, James R Glass

When Attention Sink Emerges in Language Models: An Empirical View Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu, Fengzhuo Zhang, Cunxiao Du, Ye Wang, Min Lin

Neural Dueling Bandits: Preference-Based Optimization with Human Feedback Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low

Hyper-Connections Defa Zhu, Hongzhi Huang, Zihao Huang, Yutao Zeng, Yunyao Mao, Banggu Wu, Qiyang Min, Xun Zhou

SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma

Learning Graph Quantized Tokenizers Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity Eduard Gorbunov, Nazarii Tupitsa, Sayantan Choudhury, Alen Aliev, Peter Richtarik, Samuel Horváth, Martin Takáč

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan Arik

Depth Any Video with Scalable Synthetic Data Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He

Problem-Parameter-Free Federated Learning Wenjing Yan, Kai Zhang, Xiaolu Wang, Xuanyu Cao

X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing Xinyan Chen, Jianfei Yang

Neural Causal Graph for Interpretable and Intervenable Classification Jiawei Wang, Shaofei Lu, Da Cao, Dongyu Wang, Yuquan Le, Zhe Quan, Tat-Seng Chua

GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation Yushi LAN, Shangchen Zhou, Zhaoyang Lyu, Fangzhou Hong, Shuai Yang, Bo DAI, Xingang Pan, Chen Change Loy

Gaussian Splatting Lucas-Kanade Liuyue Xie, Joel Julin, Koichiro Niinuma, Laszlo A. Jeni

No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models Changlong Wu, Ananth Grama, Wojciech Szpankowski

Moral Alignment for LLM Agents Elizaveta Tennant, Stephen Hailes, Mirco Musolesi

SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects Jiayi Liu, Denys Iliash, Angel Chang, Manolis Savva, Ali Mahdavi Amiri

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik A Chaudhari, George Karypis, Huzefa Rangwala

Robust System Identification: Finite-sample Guarantees and Connection to Regularization Hank Park, Grani A. Hanasusanto, Yingying Li

Task Descriptors Help Transformers Learn Linear Models In-Context Ruomin Huang, Rong Ge

Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa, Issei Sato

Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel Shivam Gupta, Linda Cai, Sitan Chen

Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process Tian Ye, Zicheng Xu, Yuanzhi Li, Zeyuan Allen-Zhu

Mixture of Attentions For Speculative Decoding Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou Ammar, Jun Wang

Hymba: A Hybrid-head Architecture for Small Language Models Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, ZIJIA CHEN, Ameya Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Celine Lin, Jan Kautz, Pavlo Molchanov

Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities Yichen Wang, Yiyi Zhang, Xinhao Hu, Li Niu, Jianfu Zhang, Yasushi Makihara, Yasushi Yagi, Pai Peng, Wenlong Liao, Tao He, Junchi Yan, Liqing Zhang

Neural Context Flows for Meta-Learning of Dynamical Systems Roussel Desmond Nzoyem, David Barton, Tom Deakin

Node-Time Conditional Prompt Learning in Dynamic Graphs Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han

A Unified Theory of Quantum Neural Network Loss Landscapes Eric Anschuetz

Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb, Tobias Weber, Bernd Bischl, David Rügamer

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang

OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents Zhaolin Hu, Yixiao Zhou, Zhongan Wang, Xin Li, Weimin Yang, Hehe Fan, Yi Yang

MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

Safety Layers in Aligned Large Language Models: The Key to LLM Security Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li

On the self-verification limitations of large language models on reasoning and planning tasks Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati

Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN Pengxiang Li, Lu Yin, Shiwei Liu

Neural Wave Equation for Irregularly Sampled Sequence Data Arkaprava Majumdar, M Anand Krishna, P. K. Srijith

Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Timofei Gritsaev, Nikita Morozov, Sergey Samsonov, Daniil Tiapkin

Training-Free Activation Sparsity in Large Language Models James Liu, Pragaash Ponnusamy, Tianle Cai, placeholder, Yoon Kim, Ben Athiwaratkun

Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning Amin Karimi Monsefi, Mengxi Zhou, Nastaran Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath

Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior Yuliang Xu, Jian Kang

TopoGaussian: Inferring Internal Topology Structures from Visual Clues Xiaoyu Xiong, Changyu Hu, Chunru Lin, Pingchuan Ma, Chuang Gan, Tao Du

On Quantizing Neural Representation for Variable-Rate Video Coding Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, Zhan Ma

GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction Si Chen, Richong Zhang, Xu Zhang

Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi, Zhewei Wei

Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization Jingrong Wei, Long Chen

Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhägner, Cheng Shi, Ivan Dokmanić

Language Models are Advanced Anonymizers Robin Staab, Mark Vero, Mislav Balunovic, Martin Vechev

Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng YAN

Scaling FP8 training to trillion-token LLMs Maxim Fishman, Brian Chmiel, Ron Banner, Daniel Soudry

Structure Language Models for Protein Conformation Generation Jiarui Lu, Xiaoyin Chen, Stephen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang

Conformalized Survival Analysis for General Right-Censored Data Hen Davidov, Shai Feldman, Gil Shamai, Ron Kimmel, Yaniv Romano

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Chenxu Wu, Qingpeng Kong, Zihang Jiang, S Kevin Zhou

Not-So-Optimal Transport Flows for 3D Point Cloud Generation Ka-Hei Hui, Chao Liu, xiaohui zeng, Chi-Wing Fu, Arash Vahdat

Near-Exact Privacy Amplification for Matrix Mechanisms Christopher Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Guha Thakurta

Proteina: Scaling Flow-based Protein Structure Generative Models Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kucukbenli, Arash Vahdat, Karsten Kreis

Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions Jinyoung Choi, Junoh Kang, Bohyung Han

Improving Neural Network Accuracy by Concurrently Training with a Twin Network Benjamin Vandersmissen, Lucas Deckers, Jose Oramas

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou

HELMET: How to Evaluate Long-context Models Effectively and Thoroughly Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen

Segment Any 3D Object with Language Seungjun Lee, Yuyang Zhao, Gim H Lee

ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration Youngseok Kim, Sunwook Hwang, Hyung-Sin Kim, Saewoong Bahk

Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks Bowei He, Lihao Yin, Huiling Zhen, Jianping Zhang, Lanqing HONG, Mingxuan Yuan, Chen Ma

Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye

Neural Fluid Simulation on Geometric Surfaces Haoxiang Wang, Tao Yu, Hui Qiao, Qionghai Dai

Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate Byung Hyun Lee, Sungjin Lim, Seunggyu Lee, Dong Un Kang, Se Young Chun

Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning Shumao Zhai, Ning Ge

GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation Tao Feng, Yihang Sun, Jiaxuan You

Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning Berken Utku Demirel, Christian Holz

DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking head Video Generation Hanbo Cheng, Limin Lin, Chenyu Liu, Pengcheng Xia, Pengfei Hu, Jiefeng Ma, Jun Du, Jia Pan

Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning Yu Fu, Zefan Cai, Abedelkadir Asi, Wayne Xiong, Yue Dong, Wen Xiao

Protecting against simultaneous data poisoning attacks Neel Alex, Muhammad Shoaib Ahmed Siddiqui, Amartya Sanyal, David Krueger

Unlocking the Potential of Model Calibration in Federated Learning Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton

Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm Du Chen, Geoffrey A. Chua

Optimizing Neural Network Representations of Boolean Networks Joshua Russell, Ignacio Gavier, Devdhar Patel, Edward Rietman, Hava Siegelmann

U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models Tung-Yu Wu, Melody Lo

CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features Po-han Li, Sandeep Chinchali, ufuk topcu

Federated Few-Shot Class-Incremental Learning Muhammad Anwar Masum, Mahardhika Pratama, Lin Liu, H Habibullah, Ryszard Kowalczyk

CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems Long Wei, Haodong Feng, Yuchen Yang, Ruiqi Feng, Peiyan Hu, Xiang Zheng, Tao Zhang, Dixia Fan, Tailin Wu

Neural Eulerian Scene Flow Fields Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, ERIC EATON, Mehmet Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl

Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen, Chengchang Liu, Jingzhao Zhang

Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang

Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs Xin Gao, Jian Pu

Diffusion-based Neural Network Weights Generation Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter, Sung Ju Hwang

Steering Large Language Models between Code Execution and Textual Reasoning Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang

MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations Shaochen Zhong, Yifan (Louie) Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, shuai xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Ben Hu

Contextual Document Embeddings John X. Morris, Alexander Rush

Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs Haoyu Lu, Yuqi Huo, Yifan Du, Zijia Zhao, Longteng Guo, Bingning Wang, Weipeng Chen, Jing Liu

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms Zhangheng LI, Keen You, Haotian Zhang, Di Feng, Harsh Agrawal, Xiujun Li, Mohana Moorthy, Jeffrey Nichols, Yinfei Yang, Zhe Gan

PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low

Learning-Augmented Search Data Structures Chunkai Fu, Brandon G. Nguyen, Jung Seo, Ryan Zesch, Samson Zhou

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References Qiyuan Zhang, Yufei Wang, Tiezheng YU, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma

Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling Louis Bradshaw, Simon Colton

Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference Qining Zhang, Lei Ying

OPTAMI: Global Superlinear Convergence of High-order Methods Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander Gasnikov, Martin Takáč

How to Find the Exact Pareto Front for Multi-Objective MDPs? Yining Li, Peizhong Ju, Ness Shroff

NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics Ziyu Lu, Wuwei Zhang, Trung Le, Hao Wang, Uygar Sümbül, Eric SheaBrown, Lu Mi

AdaFisher: Adaptive Second Order Optimization via Fisher Information Damien GOMES, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini

VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning Yongshuo Zong, Ondrej Bohdal, Timothy Hospedales

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He, Ming Sun, Jingjing Liu, Ya-Qin Zhang, Jian Li, Yan Wang

Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Jihyo Kim, Seulbi Lee, Sangheum Hwang

Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence Dharmesh Tailor, Alvaro Correia, Eric Nalisnick, Christos Louizos

Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement Stathis Megas, Daniel Chen, Krzysztof Polanski, Moshe Eliasof, Carola-Bibiane Schönlieb, Sarah Teichmann

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian

Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition Jiyeon Kim, Hyunji Lee, Hyowon Cho, Joel Jang, Hyeonbin Hwang, Seungpil Won, Youbin Ahn, Dohaeng Lee, Minjoon Seo

Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg

Breaking the Reclustering Barrier in Centroid-based Deep Clustering Lukas Miklautz, Timo Klein, Kevin Sidak, Collin Leiber, Thomas Lang, Andrii Shkabrii, Sebastian Tschiatschek, Claudia Plant

Taming Transformer Without Using Learning Rate Warmup Xianbiao Qi, Yelin He, Jiaquan Ye, Chun-Guang Li, Bojia Zi, Xili Dai, Qin Zou, Rong Xiao

Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models Wei Xiao, Johnson (Tsun-Hsuan) Wang, Chuang Gan, Ramin Hasani, Mathias Lechner, Daniela Rus

SiReRAG: Indexing Similar and Related Information for Multihop Reasoning Nan Zhang, Prafulla Kumar Choubey, Alexander Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu

CameraCtrl: Enabling Camera Control for Video Diffusion Models Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo DAI, Hongsheng Li, Ceyuan Yang

MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan

DELIFT: Data Efficient Language model Instruction Fine-Tuning Ishika Agarwal, Krishnateja Killamsetty, Lucian Popa, Marina Danilevsky

Gradient-Free Generation for Hard-Constrained Systems Chaoran Cheng, Boran Han, Danielle Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W Mahoney, Bernie Wang

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, runxin xu, Zhengyang Tang, Wang Benyou, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian McAuley

RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max M Marion, Matthew Leavitt, Mansheej Paul

Hybrid Regularization Improves Diffusion-based Inverse Problem Solving Hongkun Dou, Zeyu Li, Jinyang Du, Lijun Yang, Wen Yao, Yue Deng

TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation Gihyun Kwon, Jong Chul YE

4K4DGen: Panoramic 4D Generation at 4K Resolution Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou, zhang xuanyang, Zeming Li, Achuta Kadambi, Zhangyang Wang, Zhengzhong Tu, Zhiwen Fan

A transfer learning framework for weak to strong generalization Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun

Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions? BOSHEN XU, Ziheng Wang, Yang Du, Zhinan Song, Sipeng Zheng, Qin Jin

A General Framework for Producing Interpretable Semantic Text Embeddings Yiqun Sun, Qiang Huang, Yixuan Tang, Anthony Tung, Jun Yu

IgGM: A Generative Model for Functional Antibody and Nanobody Design Rubo Wang, Fandi Wu, Xingyu Gao, Jiaxiang Wu, Peilin Zhao, Jianhua Yao

Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model Zhiwei Xu, Zhiyu Ni, Yixin Wang, Wei Hu

From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency Kaiyue Wen, Huaqing Zhang, Hongzhou Lin, Jingzhao Zhang

Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation Slava Elizarov, Ciara Rowles, Simon Donné

ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning Xiangru Tang, Tianyu Hu, Muyang Ye, Daniel Shao, Xunjian Yin, Siru Ouyang, Wangchunshu Zhou, Pan Lu, Zhuosheng Zhang, Yilun Zhao, Arman Cohan, Mark Gerstein

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Heyang Zhao, Xingrui Yu, David Bossens, Ivor Tsang, Quanquan Gu

Improving Data Efficiency via Curating LLM-Driven Rating Systems Jinlong Pang, Jiaheng Wei, Ankit Parag Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei

FairDen: Fair Density-Based Clustering Lena Krieger, Anna Beer, Pernille Matthews, Anneka Thiesson, Ira Assent

Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient George Wang, Jesse Hoogland, Stan van Wingerden, Zach Furman, Daniel Murfet

PEARL: Towards Permutation-Resilient LLMs Liang CHEN, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong

Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal

DeciMamba: Exploring the Length Extrapolation Potential of Mamba Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes

Teaching LLMs How to Learn with Contextual Fine-Tuning Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul G. Krishnan

Gyrogroup Batch Normalization Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe

Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddhartha Sen, Mohammad Alizadeh

When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Hongkang Li, Yihua Zhang, shuai ZHANG, Pin-Yu Chen, Sijia Liu, Meng Wang

AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation Yuning Cui, Syed Waqas Zamir, Salman Khan, Alois Knoll, Mubarak Shah, Fahad Khan

Quamba: A Post-Training Quantization Recipe for Selective State Space Models Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu

MoDeGPT: Modular Decomposition for Large Language Model Compression Chi-Heng Lin, Shangqian Gao, James Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

Efficient Sparse PCA via Block-Diagonalization Alberto Del Pia, Dekun Zhou, Yinglun Zhu

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension Amaia Cardiel, Eloi Zablocki, Elias Ramzi, Oriane Siméoni, MATTHIEU CORD

Does Spatial Cognition Emerge in Frontier Models? Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Krähenbühl, Vladlen Koltun

CtD: Composition through Decomposition in Emergent Communication Boaz Carmeli, Ron Meir, Yonatan Belinkov

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling Yuxuan YAO, Han Wu, Mingyang LIU, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song

Near, far: Patch-ordering enhances vision foundation models' scene understanding Valentinos Pariza, Mohammadreza Salehi, Gertjan J Burghouts, Francesco Locatello, Yuki Asano

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch caigao jiang, Xiang Shu, Hong Qian, Xingyu Lu, JUN ZHOU, Aimin Zhou, Yang Yu

Scaling Long Context Training Data by Long-Distance Referrals Yonghao Zhuang, Lanxiang Hu, Longfei Yun, Souvik Kundu, Zhengzhong Liu, Eric P Xing, Hao Zhang

EcoFace: Audio-Visual Emotional Co-Disentanglement Speech-Driven 3D Talking Face Generation Jiajian Xie, Shengyu Zhang, Mengze Li, chengfei lv, Zhou Zhao, Fei Wu

Implicit In-context Learning Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris Metaxas

Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani, Ali Bashashati

MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation Zhongshen Zeng, Pengguang Chen, Shu Liu, Haiyun Jiang, Jiaya Jia

MMTEB: Massive Multilingual Text Embedding Benchmark Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzemiński, Genta Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çağatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafał Poświata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Harries, Loïc Magne, Isabelle Mohr, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Mariya Hendriksen, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lu, Jordan Clive, Gayatri K, Maksimova Anna, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff

On Large Language Model Continual Unlearning Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu

Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika

Efficient Dictionary Learning with Switch Sparse Autoencoders Anish Mudide, Josh Engels, Eric Michaud, Max Tegmark, Christian Schroeder de Witt

CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li

Revisiting Mode Connectivity in Neural Networks with Bezier Surface Jie Ren, Pin-Yu Chen, Ren Wang

Multi-Field Adaptive Retrieval Millicent Li, Tongfei Chen, Ben Van Durme, Patrick Xia

SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG Shanglin Li, Motoaki Kawanabe, Reinmar Kobler

Long Context Compression with Activation Beacon Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou

REvolve: Reward Evolution with Large Language Models using Human Feedback RISHI HAZRA, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires

Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception Ziqi Pang, Xin Xu, Yu-Xiong Wang

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas Spanos

GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation Yangtao Chen, Zixuan Chen, Junhui Yin, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yang Gao

VideoPhy: Evaluating Physical Commonsense for Video Generation Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover

FormalAlign: Automated Alignment Evaluation for Autoformalization Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying Liu, Zhijiang Guo

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity Qian Yu, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Lihe Zhang, Huchuan Lu

Online Preference Alignment for Language Models via Count-based Exploration Chenjia Bai, Yang Zhang, Shuang Qiu, Qiaosheng Zhang, Kang Xu, Xuelong Li

Transformer Learns Optimal Variable Selection in Group-Sparse Classification Chenyang Zhang, Xuran Meng, Yuan Cao

Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, xiuqiang He, Ji-Rong Wen

Score-based Self-supervised MRI Denoising Jiachen Tu, Yaokun Shi, Fan Lam

Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, christian simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji

DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement Yichong Xia, Yimin Zhou, Jinpeng Wang, Baoyi An, Haoqian Wang, Yaowei Wang, Bin Chen

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh Chawla, Xiangliang Zhang

SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan

Quality Measures for Dynamic Graph Generative Models Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann

Incremental Causal Effect for Time to Treatment Initialization Andrew Ying, Zhichen Zhao, Ronghui Xu

A Differentiable Rank-Based Objective for Better Feature Learning Krunoslav Lehman Pavasovic, Giulio Biroli, Levent Sagun

From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks Clementine Domine, Nicolas Anguita, Alexandra M Proca, Lukas Braun, Daniel Kunin, Pedro Mediano, Andrew Saxe

TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning Tsiry MAYET, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain HÉRAULT, Clement Chatelain

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Muxi Chen, Chenchen Zhao, Qiang Xu

AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum

Last Iterate Convergence of Incremental Methods as a Model of Forgetting Xufeng Cai, Jelena Diakonikolas

Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han

Adaptive backtracking for faster optimization Joao V. Cavalcanti, Laurent Lessard, Ashia Wilson

TODO: Enhancing LLM Alignment with Ternary Preferences Yuxiang Guo, Lu Yin, Bo Jiang, Jiaqi Zhang

LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning Zhuorui Ye, Stephanie Milani, Geoff Gordon, Fei Fang

Learning How Hard to Think: Input-Adaptive Allocation of LM Computation Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas

Interpretable Causal Representation Learning for Biological Data in the Pathway Space Jesus de la Fuente Cedeño, Robert Lehmann, Carlos Ruiz-Arenas, Jan Voges, Irene Marín-Goñi, Xabier Martinez de Morentin, David Gomez-Cabrero, Idoia Ochoa, Jesper Tegnér, Vincenzo Lagani, Mikel Hernaez

Interpreting the Second-Order Effects of Neurons in CLIP Yossi Gandelsman, Alexei Efros, Jacob Steinhardt

OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones? Zijian Chen, tingzhu chen, Wenjun Zhang, Guangtao Zhai

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs Peijie Dong, Lujun Li, Yuedong Zhong, DaYou Du, Ruibo FAN, Yuhan CHEN, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu

Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak

Trajectory attention for fine-grained video motion control Zeqi Xiao, Wenqi Ouyang, Yifan Zhou, Shuai Yang, Lei Yang, Jianlou Si, Xingang Pan

ThinkBot: Embodied Instruction Following with Thought Chain Reasoning Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang

Towards Calibrated Deep Clustering Network Yuheng Jia, Jianhong Cheng, Hui LIU, Junhui Hou

A Simple Framework for Open-Vocabulary Zero-Shot Segmentation Thomas Stegmüller, Tim Lebailly, Nikola Đukić, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran

International Conference on Representation Learning 2025 (ICLR 2025)

Name Change Policy