Book

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

Lossy Compression with Pretrained Diffusion Models jeremy vonderfecht, Feng Liu

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

Lipschitz Bandits in Optimal Space Xiaoyi Zhu, Zengfeng Huang

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

Conference

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

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

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

Conference

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

Conference

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

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

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

Conference

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

Conference

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

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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

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

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

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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

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

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

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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

Conference

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

Conference

Discovering Group Structures via Unitary Representation Learning Dongsung Huh

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

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

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

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

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

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

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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

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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

Conference

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

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

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

Conference

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

Conference

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

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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

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

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

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

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

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

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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

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

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

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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

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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

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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

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

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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

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

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

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

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

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

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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

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

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

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

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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

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

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

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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

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

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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

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

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

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

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

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

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

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

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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

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

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

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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

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

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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

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

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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

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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

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

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

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

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

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

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

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

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

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

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

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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

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

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

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

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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

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

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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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

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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

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

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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

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

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

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

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

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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

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

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

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

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

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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

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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

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

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

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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

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

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

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

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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

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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

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

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

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

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

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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

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

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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

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

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

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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

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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

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

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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

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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

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

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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

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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

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

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

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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

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

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

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

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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

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

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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

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

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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

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

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

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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

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

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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

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

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

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

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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

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

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

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

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

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

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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

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

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

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

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

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

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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

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

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

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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

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

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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

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

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

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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

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

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

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

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

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

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

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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

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

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

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

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

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

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

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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

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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

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

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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

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

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

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

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

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

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

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

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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

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

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

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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

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

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

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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

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

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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

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

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{$\tau$}-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

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

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

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

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

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

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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

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

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

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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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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

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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

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

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

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

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

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

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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

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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

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

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

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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

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

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

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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

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

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

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

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

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

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

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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

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

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

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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

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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

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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

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

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

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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

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

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

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

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

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

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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

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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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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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

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

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

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

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

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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

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

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

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

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

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

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

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

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

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

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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

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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

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

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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

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

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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

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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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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

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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

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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

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

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

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

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

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

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

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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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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

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

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

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

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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

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

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

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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

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

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

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

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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

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

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

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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

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

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

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

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

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

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

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

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

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

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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

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

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

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

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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

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

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

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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

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

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

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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

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

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

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

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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

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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

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

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

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

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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

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

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

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

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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

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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

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

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

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

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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

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

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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

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

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

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

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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

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

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

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

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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

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

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

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

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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

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

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

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

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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

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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

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

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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

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

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

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

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

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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

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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

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

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

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

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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

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

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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

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

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

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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

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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

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

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

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

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

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

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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

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

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

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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

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

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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

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

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

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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

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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

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

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

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

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

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

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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

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

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

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

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

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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

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

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

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

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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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

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

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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

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

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

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

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

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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

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

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

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

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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

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

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

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

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

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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

Conference

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

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

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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

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

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

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

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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

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

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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

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

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

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

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

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

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

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

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

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

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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

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

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

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

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

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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

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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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

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

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

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

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

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

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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

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

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

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

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

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

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

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

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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

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

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

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

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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

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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

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

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

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

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

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

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Oscillatory State-Space Models T. Konstantin Rusch, Daniela Rus

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Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikos Dimitriadis, Pascal Frossard, François Fleuret

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THE ROBUSTNESS OF DIFFERENTIABLE CAUSAL DISCOVERY IN MISSPECIFIED SCENARIOS Huiyang Yi, Yanyan He, Duxin Chen, Mingyu Kang, He Wang, Wenwu Yu

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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

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Federated $Q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost Zhong Zheng, Haochen Zhang, Lingzhou Xue

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Denoising with a Joint-Embedding Predictive Architecture Chen Dengsheng, Jie Hu, Xiaoming Wei, Enhua Wu

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ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning Nilo Schwencke, Cyril Furtlehner

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Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Xinsong Feng, Zihan Yu, Yanhai Xiong, Haipeng Chen

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RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction Tanqiu Jiang, Zian Wang, Jiacheng Liang, Changjiang Li, Yuhui Wang, Ting Wang

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SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes Tony Alex, Sara Atito, Armin Mustafa, Muhammad Awais, Philip Jackson

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CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li

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A Theoretical Framework for Partially-Observed Reward States in RLHF Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari

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InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly James Enouen, Yan Liu

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DyCAST: Learning Dynamic Causal Structure from Time Series Yue Cheng, Bochen Lyu, Weiwei Xing, Zhanxing Zhu

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Pacmann: Efficient Private Approximate Nearest Neighbor Search Mingxun Zhou, Elaine Shi, Giulia Fanti

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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

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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

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ADAM: An Embodied Causal Agent in Open-World Environments Shu Yu, Chaochao Lu

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Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen

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Agent S: An Open Agentic Framework that Uses Computers Like a Human Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Wang

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IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION Chuanyang Zheng

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Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu

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GSE: Group-wise Sparse and Explainable Adversarial Attacks Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta

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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

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Learning and aligning single-neuron invariance manifolds in visual cortex Mohammad Bashiri, Luca Baroni, Ján Antolík, Fabian Sinz

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Towards Faster Decentralized Stochastic Optimization with Communication Compression Rustem Islamov, Yuan Gao, Sebastian Stich

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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

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Node Similarities under Random Projections: Limits and Pathological Cases Tvrtko Tadić, Cassiano O Becker, Jennifer Neville

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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

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MetaOOD: Automatic Selection of OOD Detection Models Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao

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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

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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

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Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains Razmik Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura, Takashi Matsubara

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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

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Towards Effective Evaluations and Comparisons for LLM Unlearning Methods Qizhou Wang, Bo Han, Puning Yang, Jianing ZHU, Tongliang Liu, Masashi Sugiyama

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Beyond Random Augmentations: Pretraining with Hard Views Fabio Ferreira, Ivo Rapant, Jörg Franke, Frank Hutter

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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

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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

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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

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No Need to Talk: Asynchronous Mixture of Language Models Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert

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Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors Haiyu Wu, Jaskirat Singh, Sicong Tian, Liang Zheng, Kevin Bowyer

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How Far Are We from True Unlearnability? Kai Ye, Liangcai Su, Chenxiong Qian

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CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement Aming Wu, Cheng Deng

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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

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DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control Kaifeng Zhao, Gen Li, Siyu Tang

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SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget Zihao Wang, Bin CUI, Shaoduo Gan

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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

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Bandit Learning in Matching Markets with Indifference Fang Kong, Jingqi Tang, Mingzhu Li, Pinyan Lu, John C.S. Lui, Shuai Li

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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

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Atlas Gaussians Diffusion for 3D Generation Haitao Yang, Yuan Dong, Hanwen Jiang, Dejia Xu, Georgios Pavlakos, Qixing Huang

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Progressive distillation induces an implicit curriculum Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Andrej Risteski, Surbhi Goel

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Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models Can Demircan, Tankred Saanum, Akshay Jagadish, Marcel Binz, Eric Schulz

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Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang

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Vision-LSTM: xLSTM as Generic Vision Backbone Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter

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Forte : Finding Outliers with Representation Typicality Estimation Debargha Ganguly, Warren Morningstar, Andrew Yu, Vipin Chaudhary

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Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning Wesley Suttle, Aamodh Suresh, Carlos Nieto-Granda

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Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks, Can Rager, Eric Michaud, Yonatan Belinkov, David Bau, Aaron Mueller

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KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI Jaron Maene, Vincent Derkinderen, Pedro Zuidberg Dos Martires

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Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems Jie Chen

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Fully-inductive Node Classification on Arbitrary Graphs Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael Bronstein, Jian Tang

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Large Language Models Often Say One Thing and Do Another Ruoxi Xu, Hongyu Lin, Xianpei Han, Jia Zheng, Weixiang Zhou, Le Sun, Yingfei Sun

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CViT: Continuous Vision Transformer for Operator Learning Sifan Wang, Jacob Seidman, Shyam Sankaran, Hanwen Wang, George Pappas, Paris Perdikaris

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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

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On the Relation between Trainability and Dequantization of Variational Quantum Learning Models Elies Gil-Fuster, Casper Gyurik, Adrian Perez-Salinas, Vedran Dunjko

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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

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PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection Qiuchen Wang, Zehui Chen, Chenhongyi Yang, Jiaming Liu, Zhenyu Li, Feng Zhao

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Radar: Fast Long-Context Decoding for Any Transformer Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung

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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

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SleepSMC: Ubiquitous Sleep Staging via Supervised Multimodal Coordination Shuo Ma, Yingwei Zhang, Yiqiang Chen, Hualei Wang, Yuan Jin, Wei Zhang, Ziyu Jia

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Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang

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Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images Aiqing Zhu, Yuting Pan, Qianxiao Li

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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

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Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao

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Zero-shot Imputation with Foundation Inference Models for Dynamical Systems Patrick Seifner, Kostadin Cvejoski, Antonia Körner, Ramses Sanchez

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SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin

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IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking Shubham Dipak Ugare, Rohan Gumaste, Tarun Suresh, Gagandeep Singh, Sasa Misailovic

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3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu, Lijun Wu

Conference

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

Conference

Sparse autoencoders reveal selective remapping of visual concepts during adaptation Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider

Conference

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

Conference

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

Conference

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

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DRL: Decomposed Representation Learning for Tabular Anomaly Detection Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang

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Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir, Nadav Dym

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Mixture of In-Context Prompters for Tabular PFNs Derek Xu, Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang

Conference

Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate Yexiang Liu, Jie Cao, Zekun Li, Ran He, Tieniu Tan

Conference

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

Conference

Diverse Preference Learning for Capabilities and Alignment Stewart Slocum, Asher Parker-Sartori, Dylan Hadfield-Menell

Conference

Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization Noam Razin, Sadhika Malladi, Adithya Bhaskar, Danqi Chen, Sanjeev Arora, Boris Hanin

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Efficiently Parameterized Neural Metriplectic Systems Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask

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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

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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

Conference

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

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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

Conference

Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang

Conference

Block Verification Accelerates Speculative Decoding Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Jae H Ro, Ahmad Beirami, Ananda Theertha Suresh

Conference

Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma, Ayush Bharti, Vikas Garg

Conference

Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu

Conference

Large (Vision) Language Models are Unsupervised In-Context Learners Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic

Conference

One for all and all for one: Efficient computation of partial Wasserstein distances on the line Laetitia Chapel, Romain Tavenard

Conference

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

Conference

Discovering Influential Neuron Path in Vision Transformers Yifan Wang, Yifei Liu, Yingdong Shi, Changming Li, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren

Conference

Distribution-Free Data Uncertainty for Neural Network Regression Domokos M. Kelen, Ádám Jung, Péter Kersch, Andras Benczur

Conference

Global Convergence of Policy Gradient in Average Reward MDPs Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Y Levy, R. Srikant, Shie Mannor

Conference

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Haoran Xu, Shuozhe Li, Harshit Sikchi, Scott Niekum, Amy Zhang

Conference

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

Conference

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

Conference

Transformer Block Coupling and its Correlation with Generalization in LLMs Murdock Aubry, Haoming Meng, Anton Sugolov, Vardan Papyan

Conference

Multilevel Generative Samplers for Investigating Critical Phenomena Ankur Singha, Elia Cellini, Kim A. Nicoli, Karl Jansen, Stefan Kühn, Shinichi Nakajima

Conference

Toward Generalizing Visual Brain Decoding to Unseen Subjects Xiangtao Kong, Kexin Huang, Ping Li, Lei Zhang

Conference

Efficient Active Imitation Learning with Random Network Distillation Emilien Biré, Anthony Kobanda, Ludovic Denoyer, Rémy Portelas

Conference

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

Conference

Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs Sammy Khalife, Josué Tonelli-Cueto

Conference

ELICIT: LLM Augmentation Via External In-context Capability Futing Wang, Jianhao (Elliott) Yan, Yue Zhang, Tao Lin

Conference

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

Conference

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

Conference

Exact Certification of (Graph) Neural Networks Against Label Poisoning Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar

Conference

FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang

Conference

Variational Best-of-N Alignment Afra Amini, Tim Vieira, Elliott Ash, Ryan Cotterell

Conference

Robust Root Cause Diagnosis using In-Distribution Interventions Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma

Conference

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

Conference

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

Conference

Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks Ouns El Harzli, Bernardo Grau

Conference

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models Didi Zhu, Yibing Song, tao shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu

Conference

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

Conference

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

Conference

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

Conference

Long-time asymptotics of noisy SVGD outside the population limit Victor Priser, PASCAL BIANCHI, Adil Salim

Conference

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

Conference

STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu

Conference

Feedback Favors the Generalization of Neural ODEs Jindou Jia, Zihan Yang, Meng Wang, Kexin Guo, Jianfei Yang, Xiang Yu, Lei Guo

Conference

Learning mirror maps in policy mirror descent Carlo Alfano, Sebastian Towers, Silvia Sapora, Chris Lu, Patrick Rebeschini

Conference

Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang, Jun Shen, Xiaomeng Li

Conference

Is In-Context Learning Sufficient for Instruction Following in LLMs? Hao Zhao, Maksym Andriushchenko, francesco croce, Nicolas Flammarion

Conference

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

Conference

Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval Sheryl Hsu, Omar Khattab, Chelsea Finn, Archit Sharma

Conference

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi, Qiong Wu, Zhengyi Zhou, Yao Ma

Conference

GraphRouter: A Graph-based Router for LLM Selections Tao Feng, Yanzhen Shen, Jiaxuan You

Conference

From Promise to Practice: Realizing High-performance Decentralized Training Zesen Wang, Jiaojiao Zhang, Xuyang Wu, Mikael Johansson

Conference

UniDrive: Towards Universal Driving Perception Across Camera Configurations Ye Li, Wenzhao Zheng, Xiaonan Huang, Kurt Keutzer

Conference

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

Conference

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

Conference

Robust Conformal Prediction with a Single Binary Certificate Soroush H. Zargarbashi, Aleksandar Bojchevski

Conference

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation Haoyi Zhu, Honghui Yang, Yating Wang, Jiange Yang, Limin Wang, Tong He

Conference

Continuous Ensemble Weather Forecasting with Diffusion models Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten

Conference

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

Conference

Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data Florian Eddie Dorner, Vivian Nastl, Moritz Hardt

Conference

The Hidden Cost of Waiting for Accurate Predictions Ali Shirali, Ariel Procaccia, Rediet Abebe

Conference

Severing Spurious Correlations with Data Pruning Varun Mulchandani, Jung-Eun Kim

Conference

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

Conference

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

Conference

MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, hua wu

Conference

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

Conference

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees Weibin Liao, Xu Chu, Yasha Wang

Conference

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

Conference

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

Conference

Bounds on $L_p$ Errors in Density Ratio Estimation via $f$-Divergence Loss Functions Yoshiaki Kitazawa

Conference

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

Conference

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

Conference

Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause

Conference

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

Conference

Towards counterfactual fairness through auxiliary variables Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li

Conference

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

Conference

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

Conference

Towards Out-of-Modal Generalization without Instance-level Modal Correspondence Zhuo Huang, Gang Niu, Bo Han, Masashi Sugiyama, Tongliang Liu

Conference

Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

Conference

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

Conference

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging Ke Wang, Nikos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard

Conference

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing William June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee

Conference

High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws Muhammed Ildiz, Halil Gozeten, Ege Taga, Marco Mondelli, Samet Oymak

Conference

MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian Theis, Stephan Günnemann

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Learning Gain Map for Inverse Tone Mapping yinuo liao, Yuanshen Guan, Ruikang Xu, Jiacheng Li, Shida Sun, Zhiwei Xiong

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Multi-objective Differentiable Neural Architecture Search Rhea Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter

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Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei

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Uncovering Latent Memories in Large Language Models Sunny Duan, Mikail Khona, Abhiram Iyer, Rylan Schaeffer, Ila Fiete

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Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Linh Tran, Wei Sun, Stacy Patterson, Ana Milanova

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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

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Understanding the Stability-based Generalization of Personalized Federated Learning Yingqi Liu, Qinglun Li, Jie Tan, Yifan Shi, Li Shen, Xiaochun Cao

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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

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Rethinking Light Decoder-based Solvers for Vehicle Routing Problems Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin XU

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On the expressiveness and spectral bias of KANs Yixuan Wang, Jonathan Siegel, Ziming Liu, Thomas Hou

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Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern, Francesco Di Giovanni, Michael Bronstein, Johannes Lutzeyer

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Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling Yuma Ichikawa, Yamato Arai

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3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu

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PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa

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Flow matching achieves almost minimax optimal convergence Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko, Masanori Koyama

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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

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SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour Tom George, Pierre Glaser, Kimberly Stachenfeld, Caswell Barry, Claudia Clopath

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Utilitarian Algorithm Configuration for Infinite Parameter Spaces Devon Graham, Kevin Leyton-Brown

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Composing Unbalanced Flows for Flexible Docking and Relaxation Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi Jaakkola, Andreas Krause

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Differentially Private Steering for Large Language Model Alignment Anmol Goel, Yaxi Hu, Iryna Gurevych, Amartya Sanyal

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Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs Barrett Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang, Ser-Nam Lim

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Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation Sheng-Feng Yu, Jia-Jiun Yao, Wei-Chen Chiu

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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

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AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models Mintong Kang, Chejian Xu, Bo Li

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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

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Unlocking Global Optimality in Bilevel Optimization: A Pilot Study Quan Xiao, Tianyi Chen

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Generalizable Motion Planning via Operator Learning Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov

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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

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Faster Algorithms for Structured Linear and Kernel Support Vector Machines Yuzhou Gu, Zhao Song, Lichen Zhang

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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

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TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting Shibo Feng, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen

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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

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Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Zhang, Hao Su

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How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos C Daskalakis

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RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning Qianlan Yang, Yu-Xiong Wang

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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

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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

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Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance Shifeng Xu, Yanzhu Liu, Adams Kong

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Differentiable Integer Linear Programming Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye HAO, Bin Li, Feng Wu

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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

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Strategic Classification With Externalities Safwan Hossain, Evi Micha, Yiling Chen, Ariel Procaccia

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Dissecting Adversarial Robustness of Multimodal LM Agents Chen Wu, Rishi Shah, Jing Yu Koh, Russ Salakhutdinov, Daniel Fried, Aditi Raghunathan

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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

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Learning Mask Invariant Mutual Information for Masked Image Modeling Tao Huang, Yanxiang Ma, Shan You, Chang Xu

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TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Songtao Huang, Zhen Zhao, Can Li, LEI BAI

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Rethinking Multiple-Instance Learning From Feature Space to Probability Space Zhaolong Du, Shasha Mao, Xuequan Lu, Mengnan Qi, Yimeng Zhang, Jing Gu, Licheng Jiao

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Chain-of-region: Visual Language Models Need Details for Diagram Analysis Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen

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Debiasing Federated Learning with Correlated Client Participation Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei

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Vector-ICL: In-context Learning with Continuous Vector Representations Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao

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Improving Unsupervised Constituency Parsing via Maximizing Semantic Information Junjie Chen, Xiangheng He, Yusuke Miyao, Danushka Bollegala

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Democratic Training Against Universal Adversarial Perturbations Bing Sun, Jun Sun, Wei Zhao

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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

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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

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Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung

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Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? Charles Dawson, Van Tran, Max Li, Chuchu Fan

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GMValuator: Similarity-based Data Valuation for Generative Models Jiaxi Yang, Wenlong Deng, Benlin Liu, Yangsibo Huang, James Y Zou, Xiaoxiao Li

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Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints Mihaela Stoian, Eleonora Giunchiglia

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Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev Arora

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GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks Shuhan Song, Ping Li, Ming Dun, Maolei Huang, Huawei Cao, Xiaochun Ye

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Can LLMs Solve Longer Math Word Problems Better? Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang

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Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? Yutong Yin, Zhaoran Wang

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ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization The Viet Bui, Thanh Nguyen, Tien Mai

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BenTo: Benchmark Reduction with In-Context Transferability Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou

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Intrinsic User-Centric Interpretability through Global Mixture of Experts Vinitra Swamy, Syrielle Montariol, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser

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Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving Peidong Li, Dixiao Cui

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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

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CollabEdit: Towards Non-destructive Collaborative Knowledge Editing Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin, Tao Lin

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Nonlinear Sequence Embedding by Monotone Variational Inequality Jonathan Y. Zhou, Yao Xie

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GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai

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Scaling Autonomous Agents via Automatic Reward Modeling And Planning Zhenfang Chen, Delin Chen, Rui Sun, Wenjun Liu, Chuang Gan

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Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel Castro, Ben Glocker

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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

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Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li

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Boosting Multiple Views for pretrained-based Continual Learning Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Phung, Khoat Than, Trung Le

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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

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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

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KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting Ronghua Zheng, Hanru Bai, Weiyang Ding

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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

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ImProver: Agent-Based Automated Proof Optimization Riyaz Ahuja, Jeremy Avigad, Prasad Tetali, Sean Welleck

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Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami

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Accelerating Training with Neuron Interaction and Nowcasting Networks Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien

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Knowledge Localization: Mission Not Accomplished? Enter Query Localization! Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

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HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models Qiushi Huang, Tom Ko, Zhan ZHUANG, Lilian Tang, Yu Zhang

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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

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Gated Delta Networks: Improving Mamba2 with Delta Rule Songlin Yang, Jan Kautz, Ali Hatamizadeh

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Correlation and Navigation in the Vocabulary Key Representation Space of Language Models Letian Peng, Chenyang An, Jingbo Shang

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TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking Danqing Wang, Jianxin Ma, Fei Fang, Lei Li

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ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As, Bhavya, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause

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Bayesian WeakS-to-Strong from Text Classification to Generation Ziyun Cui, Ziyang Zhang, Guangzhi Sun, Wen Wu, Chao Zhang

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Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling Yuwei Cheng, Fan Yao, Xuefeng Liu, Haifeng Xu

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Exploring Local Memorization in Diffusion Models via Bright Ending Attention Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu

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Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models Qiong Wu, Zhaoxi Ke, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji

Conference

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

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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

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SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection Jingjie Zhang, Hanqun Cao, Zijun Gao, Xiaorui Wang, Chunbin Gu

Conference

Prototype antithesis for biological few-shot class-incremental learning Binghao Liu, Han Yang, Fang Wan, Fei Gu

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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

Conference

Open-World Reinforcement Learning over Long Short-Term Imagination Jiajian Li, Qi Wang, Yunbo Wang, Xin Jin, Yang Li, Wenjun Zeng, Xiaokang Yang

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Compute-Optimal LLMs Provably Generalize Better with Scale Marc Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, Zico Kolter, Andrew Gordon Wilson

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Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking Mattia Segu, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Luc Van Gool, Bernt Schiele

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Sharpness-Aware Minimization: General Analysis and Improved Rates Dimitris Oikonomou, Nicolas Loizou

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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

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Training-Free Dataset Pruning for Instance Segmentation Yalun Dai, Lingao Xiao, Ivor Tsang, Yang He

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YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Liao

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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

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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

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Exact Community Recovery under Side Information: Optimality of Spectral Algorithms Julia Gaudio, Nirmit Joshi

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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

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TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik

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Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang, Xiaoming Huo, Hao Wang

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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

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Streamlining Redundant Layers to Compress Large Language Models Xiaodong Chen, Yuxuan Hu, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen

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Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Shuang Liu, Yihan Wang, Yifan Zhu, Yibo Miao, XIAOSHAN GAO

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Optimizing importance weighting in the presence of sub-population shifts Floris Holstege, Bram Wouters, Noud Giersbergen, Cees Diks

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Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport Haokai Hong, Wanyu LIN, KC Tan

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The Complexity of Two-Team Polymatrix Games with Independent Adversaries Alexandros Hollender, Gilbert Maystre, Sai Ganesh Nagarajan

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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

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Fine-tuning with Reserved Majority for Noise Reduction Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang

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Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel, Hava Siegelmann

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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

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Locality Sensitive Avatars From Video Chunjin Song, Zhijie Wu, Shih-Yang Su, Bastian Wandt, Leonid Sigal, Helge Rhodin

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Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation Xiaojuan Wang, Boyang Zhou, Brian Curless, Ira Kemelmacher-Shlizerman, Aleksander Holynski, Steve Seitz

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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

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Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Ruiqi Ni, zherong pan, Ahmed Hussain Qureshi

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Solving New Tasks by Adapting Internet Video Knowledge Calvin Luo, Zilai Zeng, Yilun Du, Chen Sun

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VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing Xiangpeng Yang, Linchao Zhu, Hehe Fan, Yi Yang

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Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions Yan Ru Pei

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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

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On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Yingnian Wu

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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

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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

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CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul YE

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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

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6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering Zhongpai Gao, Benjamin Planche, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Ziyan Wu

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PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation Sang-Hoon Lee, Ha-Yeong Choi, Seong-Whan Lee

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Semantix: An Energy-guided Sampler for Semantic Style Transfer Huiang He, Minghui HU, Chuanxia Zheng, Chaoyue Wang, Tat-Jen Cham

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High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation Ziye Wang, Yiran Qin, Lin Zeng, Ruimao Zhang

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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

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Language Models Are Implicitly Continuous Samuele Marro, Davide Evangelista, X. Huang, Emanuele La Malfa, Michele Lombardi, Michael Wooldridge

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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

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Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective Jialong Chen, Bowen Deng, Zhen WANG, Chuan Chen, Zibin Zheng

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Plastic Learning with Deep Fourier Features Alex Lewandowski, Dale Schuurmans, Marlos C. Machado

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Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator Wenhao Xu, Xuefeng Gao, Xuedong He

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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

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Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi, Bahareh Tolooshams, anima anandkumar

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SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen

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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

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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

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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

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Persistent Pre-training Poisoning of LLMs Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramer, Daphne Ippolito

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Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation Itamar Zimerman, ameen ali ali, Lior Wolf

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TDDBench: A Benchmark for Training data detection Zhihao Zhu, Yi Yang, Defu Lian

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MallowsPO: Fine-Tune Your LLM with Preference Dispersions Haoxian Chen, Hanyang Zhao, Henry Lam, David Yao, Wenpin Tang

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Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li

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Metric-Driven Attributions for Vision Transformers Chase Walker, Sumit Jha, Rickard Ewetz

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Systematic Outliers in Large Language Models Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang

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Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong

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StringLLM: Understanding the String Processing Capability of Large Language Models Xilong Wang, Hao Fu, Jindong Wang, Neil Gong

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MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents Junpeng Yue, Xinrun Xu, Börje F. Karlsson, Zongqing Lu

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Quantum-PEFT: Ultra parameter-efficient fine-tuning Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher

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SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance Kunal Singh, Ankan Biswas, Sayandeep Bhowmick, Pradeep Moturi, Siva Gollapalli

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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

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Factor Graph-based Interpretable Neural Networks Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia

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TopoDiffusionNet: A Topology-aware Diffusion Model Saumya Gupta, Dimitris Samaras, Chao Chen

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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

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metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models Alex Kipnis, Konstantinos Voudouris, Luca Schulze Buschoff, Eric Schulz

Conference

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

Conference

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

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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

Conference

Differentiable Causal Discovery for Latent Hierarchical Causal Models Parjanya Prashant, Ignavier Ng, Kun Zhang, Biwei Huang

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Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning Chongyi Zheng, Jens Tuyls, Joanne Peng, Benjamin Eysenbach

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Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang

Conference

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

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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

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Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations Lorenzo Basile, Santiago Acevedo, Luca Bortolussi, Fabio Anselmi, Alex Rodriguez

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CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation Matan Rusanovsky, Or Hirschorn, Shai Avidan

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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

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Inverse decision-making using neural amortized Bayesian actors Dominik Straub, Tobias Fabian Niehues, Jan Peters, Constantin Rothkopf

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TopoLM: brain-like spatio-functional organization in a topographic language model Neil Rathi, Johannes Mehrer, Badr AlKhamissi, Taha Binhuraib, Nicholas Blauch, Martin Schrimpf

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Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

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Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation Abdelrahman Eldesokey, Peter Wonka

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CoInD: Enabling Logical Compositions in Diffusion Models Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti

Conference

Fast training and sampling of Restricted Boltzmann Machines Nicolas BEREUX, Aurélien Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane

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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

Conference

Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan Arik

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ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design Keir Adams, Kento Abeywardane, Jenna Fromer, Connor Coley

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Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data Zhiyuan Zhou, Andy Peng, Qiyang Li, Sergey Levine, Aviral Kumar

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SMT: Fine-Tuning Large Language Models with Sparse Matrices Haoze He, Juncheng Li, Xuan Jiang, Heather Miller

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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

Conference

Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context Spencer Frei, Gal Vardi

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Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs Xuandong Zhao, Lei Li, Yu-Xiang Wang

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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

Conference

Is Your Multimodal Language Model Oversensitive to Safe Queries? Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh

Conference

6D Object Pose Tracking in Internet Videos for Robotic Manipulation Georgy Ponimatkin, Martin Cífka, Tomas Soucek, Médéric Fourmy, Yann Labbé, Vladimir Petrik, Josef Sivic

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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

Conference

Going Beyond Static: Understanding Shifts with Time-Series Attribution Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar

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Hessian-Free Online Certified Unlearning Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei

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MAST: model-agnostic sparsified training Yury Demidovich, Grigory Malinovsky, Egor Shulgin, Peter Richtarik

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Consistency Checks for Language Model Forecasters Daniel Paleka, Abhimanyu Pallavi Sudhir, Alejandro Alvarez, Vineeth Bhat, Adam Shen, Evan Wang, Florian Tramer

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Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes Jongmin Lee, Ernest Ryu

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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

Conference

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

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Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? Maxime Méloux, Silviu Maniu, François Portet, Maxime Peyrard

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Simulating Human-like Daily Activities with Desire-driven Autonomy Yiding Wang, Yuxuan Chen, Fangwei Zhong, Long Ma, Yizhou Wang

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Comparing noisy neural population dynamics using optimal transport distances Amin Nejatbakhsh, Victor Geadah, Alex Williams, David Lipshutz

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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

Conference

Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Aleksei Naumov, Sergey Samsonov

Conference

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

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Generative Monoculture in Large Language Models Fan Wu, Emily Black, Varun Chandrasekaran

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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

Conference

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

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Advantage Alignment Algorithms Juan Duque, Milad Aghajohari, Timotheus Cooijmans, Razvan Ciuca, Tianyu Zhang, Gauthier Gidel, Aaron Courville

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Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents Hao Bai, Yifei Zhou, Li Li, Sergey Levine, Aviral Kumar

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FIRING-Net: A filtered feature recycling network for speech enhancement Xinmeng Xu, Yiqun Zhang, Jizhen Li, Yuhong Yang, Yong Luo, Weiping Tu

Conference

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

Conference

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

Conference

GameArena: Evaluating LLM Reasoning through Live Computer Games Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica, Haojian Jin, Hao Zhang

Conference

Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models Yuchen Yuchen, Xiangzhong Fang, Hanting Chen, Yunhe Wang

Conference

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

Conference

Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy Mingyang Zhao, Gaofeng Meng, Dong-ming Yan

Conference

EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING Aditya Ramesh, Shivam Bhardwaj, Aditya Saibewar, Manohar Kaul

Conference

SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency Yiming Xie, Chun-Han Yao, Vikram Voleti, Huaizu Jiang, Varun Jampani

Conference

Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators Ariel Elnekave, Yair Weiss

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Residual Stream Analysis with Multi-Layer SAEs Tim Lawson, Lucy Farnik, Conor Houghton, Laurence Aitchison

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HeadMap: Locating and Enhancing Knowledge Circuits in LLMs Xuehao Wang, Liyuan Wang, Binghuai Lin, Yu Zhang

Conference

Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Jing Zhang

Conference

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

Conference

Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control Aleksandar Makelov, Georg Lange, Neel Nanda

Conference

Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers Lei Chen, Joan Bruna, Alberto Bietti

Conference

Adaptive Length Image Tokenization via Recurrent Allocation Shivam Duggal, Phillip Isola, Antonio Torralba, William Freeman

Conference

Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale Alaa Khaddaj, Logan Engstrom, Aleksander Madry

Conference

Energy-Based Diffusion Language Models for Text Generation Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat

Conference

VLMaterial: Procedural Material Generation with Large Vision-Language Models Beichen Li, Rundi Wu, Armando Solar-Lezama, Changxi Zheng, Liang Shi, Bernd Bickel, Wojciech Matusik

Conference

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

Conference

Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation Xinpeng Wang, Chengzhi (Martin) Hu, Paul Röttger, Barbara Plank

Conference

NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative Asmar Nadeem, Faegheh Sardari, Robert Dawes, Syed Husain, Adrian Hilton, Armin Mustafa

Conference

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Xiaoxuan Hou, Jiayi Yuan, Joel Z Leibo, Natasha Jaques

Conference

Improved Diffusion-based Generative Model with Better Adversarial Robustness Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma

Conference

Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens Stanislav Fort

Conference

Mixture-of-Agents Enhances Large Language Model Capabilities Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Y Zou

Conference

Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion Jinbiao Chen, Jiahai Wang, Zhiguang Cao, Yaoxin Wu

Conference

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

Conference

UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning Shicheng Liu, Minghui Zhu

Conference

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

Conference

Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka

Conference

LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace Yan Yang, Bin Gao, Ya-xiang Yuan

Conference

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

Conference

GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao

Conference

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

Conference

Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster

Conference

Affine Steerable Equivariant Layer for Canonicalization of Neural Networks Yikang Li, Yeqing Qiu, Yuxuan Chen, Zhouchen Lin

Conference

Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations Xiuchuan Li, Tongliang Liu

Conference

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

Conference

TULIP: Token-length Upgraded CLIP Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki Asano, Nanne van Noord, Marcel Worring, Cees G Snoek

Conference

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

Conference

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

Conference

Rethinking Spiking Neural Networks from an Ensemble Learning Perspective Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Hanpu Deng

Conference

Learning Continually by Spectral Regularization Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar, Andras Gyorgy, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado

Conference

From Attention to Activation: Unraveling the Enigmas of Large Language Models Prannay Kaul, Chengcheng Ma, Ismail Elezi, Jiankang Deng

Conference

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

Conference

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

Conference

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

Conference

One Step Diffusion via Shortcut Models Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel

Conference

Revisiting a Design Choice in Gradient Temporal Difference Learning Xiaochi Qian, Shangtong Zhang

Conference

Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao

Conference

Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang, Zixiang Chen, Quanquan Gu

Conference

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

Conference

Learning Geometric Reasoning Networks For Robot Task And Motion Planning Smail Ait Bouhsain, Rachid Alami, Thierry Simeon

Conference

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

Conference

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

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Dynamic Negative Guidance of Diffusion Models Felix Koulischer, Johannes Deleu, Gabriel Raya, Thomas Demeester, Luca Ambrogioni

Conference

Generalization through variance: how noise shapes inductive biases in diffusion models John Vastola

Conference

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

Conference

Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen, Shuze Liu, Shangtong Zhang

Conference

Instant Policy: In-Context Imitation Learning via Graph Diffusion Vitalis Vosylius, Edward Johns

Conference

Non-myopic Generation of Language Models for Reasoning and Planning Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong

Conference

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

Conference

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

Conference

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

Conference

MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs Yusu Qian, Hanrong Ye, Jean-Philippe Fauconnier, Peter Grasch, Yinfei Yang, Zhe Gan

Conference

TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko

Conference

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

Conference

When does compositional structure yield compositional generalization? A kernel theory. Samuel Lippl, Kimberly Stachenfeld

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OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference Dujian Ding, Bicheng Xu, Laks Lakshmanan

Conference

Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness Xianglu Wang, Hu Ding

Conference

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

Conference

Learning Harmonized Representations for Speculative Sampling Lefan Zhang, Xiaodan Wang, Yanhua Huang, Ruiwen Xu

Conference

Emergence of a High-Dimensional Abstraction Phase in Language Transformers Emily Cheng, Diego Doimo, Corentin Kervadec, Iuri Macocco, Lei Yu, Alessandro Laio, Marco Baroni

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Re-evaluating Open-ended Evaluation of Large Language Models Si-Qi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot

Conference

BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks Yunhan Zhao, Xiang Zheng, Lin Luo, Yige Li, Xingjun Ma, Yu-Gang Jiang

Conference

DPLM-2: A Multimodal Diffusion Protein Language Model Xinyou Wang, Zaixiang Zheng, Fei YE, Dongyu Xue, Shujian Huang, Quanquan Gu

Conference

Multi-Dimensional Conformal Prediction Yam Tawachi, Bracha Laufer-Goldshtein

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LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid Tianyi Zhang, Anshumali Shrivastava

Conference

Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He, Can Chang, Huazhe Xu, Ling Pan

Conference

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

Conference

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

Conference

Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Ryan Lucas, Rahul Mazumder

Conference

On Scaling Up 3D Gaussian Splatting Training Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie

Conference

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

Conference

LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh Jing Wen, Alex Schwing, Shenlong Wang

Conference

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

Conference

IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities Ziyang Li, Saikat Dutta, Mayur Naik

Conference

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

Conference

Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout Bharat Srikishan, Daniel O'Malley, Mohamed Mehana, Nicholas Lubbers, Nikhil Muralidhar

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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

Conference

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

Conference

TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation Chenghan Li, Mingchen LI, Ruisheng Diao

Conference

Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik

Conference

EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation Jiaxiang Tang, Max Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang

Conference

Decoupled Finetuning for Domain Generalizable Semantic Segmentation Jaehyun Pahk, Donghyeon Kwon, Seong Joon Oh, Suha Kwak

Conference

Long-tailed Adversarial Training with Self-Distillation Seungju Cho, Hongsin Lee, Changick Kim

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SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation Jongmin Lee, Meiqi Sun, Pieter Abbeel

Conference

Expected Return Symmetries Darius Muglich, Johannes Forkel, Elise van der Pol, Jakob Foerster

Conference

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

Conference

Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten

Conference

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

Conference

Learning Efficient Positional Encodings with Graph Neural Networks Charilaos Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro

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Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham

Conference

Learning Hierarchical Polynomials of Multiple Nonlinear Features Hengyu Fu, Zihao Wang, Eshaan Nichani, Jason Lee

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Mask in the Mirror: Implicit Sparsification Tom Jacobs, Rebekka Burkholz

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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

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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

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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

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Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions Zhihao He, Hang Yu, Zi Gong, Shi Zhan Liu, Jianguo Li, Weiyao Lin

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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

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Memory Mosaics Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Leon Bottou

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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

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Simple, Good, Fast: Self-Supervised World Models Free of Baggage Jan Robine, Marc Höftmann, Stefan Harmeling

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What Are Good Positional Encodings for Directed Graphs? Yinan Huang, Haoyu Wang, Pan Li

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Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai Oh

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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

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RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models Tanqiu Jiang, Changjiang Li, Fenglong Ma, Ting Wang

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Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues Riccardo Grazzi, Julien Siems, Arber Zela, Jörg Franke, Frank Hutter, massimiliano pontil

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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

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A Theory for Token-Level Harmonization in Retrieval-Augmented Generation Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

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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

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HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Tristan Tomilin, Meng Fang, Mykola Pechenizkiy

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Compute-Constrained Data Selection Junjie Oscar Yin, Alexander Rush

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Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions Jianxin Zhang, Josh Viktorov, Doosan Jung, Emily Pitler

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DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks Saman Forouzandeh, Parham Moradi Dowlatabadi, Mahdi Jalili

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RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank Tanya Chowdhury, Yair Zick, James Allan

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Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Byoungwoo Park, Hyungi Lee, Juho Lee

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IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations Zhibing Li, Tong Wu, Jing Tan, Mengchen Zhang, Jiaqi Wang, Dahua Lin

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SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs Mingquan Feng, Yixin Huang, Weixin Liao, Yuhong Liu, Yizhou Liu, Junchi Yan

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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

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Adaptive Batch Size for Privately Finding Second-Order Stationary Points Daogao Liu, Kunal Talwar

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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

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Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low

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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

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Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks Siddharth Joshi, Jiayi Ni, Baharan Mirzasoleiman

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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

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Preble: Efficient Distributed Prompt Scheduling for LLM Serving Vikranth Srivatsa, Zijian He, Reyna Abhyankar, Dongming Li, Yiying Zhang

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Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

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Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model Wenhong Zhu, Zhiwei He, Xiaofeng Wang, Pengfei Liu, Rui Wang

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Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics Alexander Tyurin

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Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization Zichen Wang, Yaokun Ji, Jianing Tian, Shuangjia Zheng

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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

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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

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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

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Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning Jaehyeon Son, Soochan Lee, Gunhee Kim

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Language Agents Meet Causality -- Bridging LLMs and Causal World Models John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov

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Small Models are LLM Knowledge Triggers for Medical Tabular Prediction Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu

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TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec

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Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs Donggoo Jung, Daehyun Kim, Tae Hyun Kim

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A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language Ekdeep Singh Lubana, Kyogo Kawaguchi, Robert Dick, Hidenori Tanaka

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Group Downsampling with Equivariant Anti-aliasing Md Ashiqur Rahman, Raymond A. Yeh

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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

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Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes Haotian Wu, Gongpu Chen, Deniz Gunduz

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GameGen-X: Interactive Open-world Game Video Generation Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao CHEN

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Towards a learning theory of representation alignment Francesco Maria Gabriele Insulla, Shuo Huang, Lorenzo Rosasco

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Post-hoc Reward Calibration: A Case Study on Length Bias Zeyu Huang, Zihan Qiu, zili wang, Edoardo M. Ponti, Ivan Titov

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Attribute-based Visual Reprogramming for Vision-Language Models Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

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CONGO: Compressive Online Gradient Optimization Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, Aditya Akella

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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

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M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model Kehan Wen, Yutong Hu, Yao Mu, Lei Ke

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DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang

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Progressive Mixed-Precision Decoding for Efficient LLM Inference Hao (Mark) Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos Venieris

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Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Arik

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Active Task Disambiguation with LLMs Katarzyna Kobalczyk, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar

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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

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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

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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

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Sparse components distinguish visual pathways & their alignment to neural networks Ammar I Marvi, Nancy Kanwisher, Meenakshi Khosla

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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

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DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu

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Progressive Compression with Universally Quantized Diffusion Models Yibo Yang, Justus Will, Stephan Mandt

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EmbodiedSAM: Online Segment Any 3D Thing in Real Time Xiuwei Xu, Huangxing Chen, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu

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ElasticTok: Adaptive Tokenization for Image and Video Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu

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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

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Provence: efficient and robust context pruning for retrieval-augmented generation Nadezhda Chirkova, Thibault Formal, Vassilina Nikoulina, Stéphane Clinchant

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Making Text Embedders Few-Shot Learners Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, Zheng Liu

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Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks Zi Wang, Divyam Anshumaan, Ashish Hooda, Yudong Chen, Somesh Jha

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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

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HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere Hatef Otroshi Shahreza, Sébastien Marcel

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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

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On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao Yang

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On Bits and Bandits: Quantifying the Regret-Information Trade-off Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor

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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

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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

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Uncertainty modeling for fine-tuned implicit functions Anna Susmelj, Mael Macuglia, Natasa Tagasovska, Reto Sutter, Sebastiano Caprara, Jean-Philippe Thiran, Ender Konukoglu

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A Generalist Hanabi Agent Arjun V Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, Sarath Chandar

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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

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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

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Boltzmann priors for Implicit Transfer Operators Juan Viguera Diez, Mathias Schreiner, Ola Engkvist, Simon Olsson

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SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David Lindell

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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

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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

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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

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Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization Matthew Burns, Qingyuan Hou, Michael Huang

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Speech Robust Bench: A Robustness Benchmark For Speech Recognition Muhammad Shah, David Solans Noguero, Mikko Heikkilä, Bhiksha Raj, Nicolas Kourtellis

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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

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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

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GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost Xinyi Shang, Peng Sun, Tao Lin

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ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments Hojae Han, seung-won hwang, Rajhans Samdani, Yuxiong He

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Active Learning for Neural PDE Solvers Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert

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Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury

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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

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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

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ESE: Espresso Sentence Embeddings Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing Li

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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

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Kronecker Mask and Interpretive Prompts are Language-Action Video Learners Jingyi Yang, Zitong YU, Nixiuming, He Jia, Hui Li

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ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization Chen Bo Calvin Zhang, Zhang-Wei Hong, Aldo Pacchiano, Pulkit Agrawal

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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

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Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Matt Riemer, Gopeshh Raaj Subbaraj, Glen Berseth, Irina Rish

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TopoNets: High performing vision and language models with brain-like topography Mayukh Deb, Mainak Deb, Apurva Murty

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Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics Alireza Mousavi-Hosseini, Denny Wu, Murat A Erdogdu

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FOSP: Fine-tuning Offline Safe Policy through World Models Chenyang Cao, Yucheng Xin, Silang Wu, Longxiang He, Zichen Yan, Junbo Tan, Xueqian Wang

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Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller, Kathrin Gruber, Dennis Fok

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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

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The Crucial Role of Samplers in Online Direct Preference Optimization Ruizhe Shi, Runlong Zhou, Simon Du

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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

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Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen

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MLPs Learn In-Context on Regression and Classification Tasks William Tong, Cengiz Pehlevan

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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

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REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

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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

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Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang

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State Space Model Meets Transformer: A New Paradigm for 3D Object Detection Chuxin Wang, Wenfei Yang, Xiang Liu, Tianzhu Zhang

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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

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Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios Li Huaqiu, HuXiaowan, Haoqian Wang

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New Algorithms for the Learning-Augmented k-means Problem Junyu Huang, Qilong Feng, Ziyun Huang, Zhen Zhang, Jinhui Xu, Jianxin Wang

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Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory Nikola Zubic, Federico Soldà, Aurelio Sulser, Davide Scaramuzza

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GraphBridge: Towards Arbitrary Transfer Learning in GNNs Li Ju, Xingyi Yang, Qi Li, Xinchao Wang

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Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations Richard Bergna, Sergio Calvo Ordoñez, Felix Opolka, Pietro Lio, José Miguel Hernández Lobato

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Understanding Optimization in Deep Learning with Central Flows Jeremy Cohen, Alex Damian, Ameet Talwalkar, Zico Kolter, Jason Lee

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Protein Language Model Fitness is a Matter of Preference Cade Gordon, Amy Lu, Pieter Abbeel

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Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks Runpeng Yu, Xinchao Wang

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AtomSurf: Surface Representation for Learning on Protein Structures Vincent Mallet, Yangyang Miao, Souhaib Attaiki, Bruno Correia, Maks Ovsjanikov

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Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning Wei Wu, Can Liao, Zizhen Deng, Zhengrui Guo, Jinzhuo Wang

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PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection Botao Ren, Xue Yang, Yi Yu, Junwei Luo, Zhidong Deng

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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

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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

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Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Yuda Song, Hanlin Zhang, Carson Eisenach, Sham Kakade, Dean Foster, Udaya Ghai

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3D-SPATIAL MULTIMODAL MEMORY Xueyan Zou, Yuchen Song, Ri-Zhao Qiu, Xuanbin Peng, Jianglong Ye, Sifei Liu, Xiaolong Wang

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API Pack: A Massive Multi-Programming Language Dataset for API Call Generation Gavin (Zhen) Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda

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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

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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

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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

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What Makes Large Language Models Reason in (Multi-Turn) Code Generation? Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Negrevergne, Gabriel Synnaeve

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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

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Towards a Complete Logical Framework for GNN Expressiveness Tuo Xu

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BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Keyi Shen, Jiangwei Yu, Jose Barreiros, Huan Zhang, Yunzhu Li

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CryoFM: A Flow-based Foundation Model for Cryo-EM Densities Yi Zhou, Yilai Li, Jing Yuan, Quanquan Gu

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LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, David Woodruff

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Graph Neural Networks Gone Hogwild Olga Solodova, Nick Richardson, Deniz Oktay, Ryan P Adams

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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

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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

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Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention Tongzhou Liao, Barnabás Póczos

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Near-optimal Active Regression of Single-Index Models Yi Li, Wai Ming Tai

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Capability Localization: Capabilities Can be Localized rather than Individual Knowledge Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu

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Generalizing Weisfeiler-Lehman Kernels to Subgraphs Dongkwan Kim, Alice Oh

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Surprising Effectiveness of pretraining Ternary Language Model at Scale Ayush Kaushal, Tejas Vaidhya, Arnab Mondal, Tejas Pandey, Aaryan Bhagat, Irina Rish

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Lines of Thought in Large Language Models Raphaël Sarfati, Toni Liu, Nicolas Boulle, Christopher Earls

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Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs Yuheng Zhang, Nan Jiang

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KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA Xiaorui Su, Yibo Wang, Shanghua Gao, Xiaolong Liu, Valentina Giunchiglia, Djork-Arné Clevert, Marinka Zitnik

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From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy Julian Dörfler, Benito van der Zander, Markus Bläser, Maciej Liśkiewicz

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GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks Sarp Aykent, Tian Xia

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Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C.S. Lui

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DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes Hengwei Bian, Lingdong Kong, Haozhe Xie, Liang Pan, Yu Qiao, Ziwei Liu

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$q$-exponential family for policy optimization Lingwei Zhu, Haseeb Shah, Han Wang, Yukie Nagai, Martha White

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DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Chenguo Lin, Panwang Pan, Bangbang Yang, Zeming Li, Yadong MU

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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

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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

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Provable unlearning in topic modeling and downstream tasks Stanley Wei, Sadhika Malladi, Sanjeev Arora, Amartya Sanyal

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EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig

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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

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Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann, Simon Markus Geisler

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Cauchy-Schwarz Regularizers Sueda Taner, Ziyi Wang, Christoph Studer

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Scalable Influence and Fact Tracing for Large Language Model Pretraining Tyler Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney

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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

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Systematic Relational Reasoning With Epistemic Graph Neural Networks Irtaza Khalid, Steven Schockaert

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Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics Tianfang Zhu, Dongli Hu, Jiandong Zhou, Kai Du, Anan LI

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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

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Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View Xuan Liu, Jie ZHANG, HaoYang Shang, Song Guo, Chengxu Yang, Quanyan Zhu

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Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games Yanzheng Chen, Jun Yu

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Backtracking Improves Generation Safety Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel Bikel, Jason E Weston, Eric Michael Smith

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Imputation for prediction: beware of diminishing returns. Marine Le Morvan, Gael Varoquaux

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Do LLM Agents Have Regret? A Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman Ozdaglar, Kaiqing Zhang

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Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall

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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

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Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Nicola Tatzel, Bálint Mucsányi, Osane Hackel, Philipp Hennig

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VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning Han Lin, Tushar Nagarajan, Nicolas Ballas, Mahmoud Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha

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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

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Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon, Anneke Wernerfelt, Sorelle Friedler, Berk Ustun

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Diffusion On Syntax Trees For Program Synthesis Shreyas Kapur, Erik Jenner, Stuart Russell

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A Decade's Battle on Dataset Bias: Are We There Yet? Zhuang Liu, Kaiming He

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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

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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

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Calibrating Expressions of Certainty Peiqi Wang, Barbara Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William Wells III, Tina Kapur, Polina Golland

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Towards Hierarchical Rectified Flow Yichi Zhang, Yici Yan, Alex Schwing, Zhizhen Zhao

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BodyGen: Advancing Towards Efficient Embodiment Co-Design Haofei Lu, Zhe Wu, Junliang Xing, Jianshu Li, Ruoyu Li, Zhe Li, Yuanchun Shi

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Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning Zijian Guo, Weichao Zhou, Shengao Wang, Wenchao Li

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Private Mechanism Design via Quantile Estimation Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, Jamie Morgenstern

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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

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Encryption-Friendly LLM Architecture Donghwan Rho, Taeseong Kim, Minje Park, Jung Woo Kim, Hyunsik Chae, Ernest Ryu, Jung Hee Cheon

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Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos Mingfei Han, Linjie Yang, Xiaojun Chang, Lina Yao, Heng Wang

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ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models Jianrong Lu, Zhiyu Zhu, Junhui Hou

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A Simple Approach to Unifying Diffusion-based Conditional Generation Xirui Li, Charles Herrmann, Kelvin Chan, Yinxiao Li, Deqing Sun, Chao Ma, Ming-Hsuan Yang

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Reveal Object in Lensless Photography via Region Gaze and Amplification Xiangjun Yin, Huihui Yue

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Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen

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LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases Armin Toroghi, Ali Pesaranghader, Tanmana Sadhu, Scott Sanner

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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

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Wayward Concepts In Multimodal Models Brandon Trabucco, Max Gurinas, Kyle Doherty, Russ Salakhutdinov

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CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling Matthew Fortier, Mats L. Richter, Oliver Sonnentag, Christopher Pal

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Better Instruction-Following Through Minimum Bayes Risk Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Pakazad, Graham Neubig

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Dynamic Low-Rank Sparse Adaptation for Large Language Models Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji

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Generating Freeform Endoskeletal Robots Muhan Li, Lingji Kong, Sam Kriegman

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LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision Jiani Huang, Ziyang Li, Mayur Naik, Ser-Nam Lim

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The Ramanujan Library - Automated Discovery on the Hypergraph of Integer Relations Itay Beit Halachmi, Ido Kaminer

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Neural Functions for Learning Periodic Signal Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park

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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

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Conformal Language Model Reasoning with Coherent Factuality Maxon Rubin-Toles, Maya Gambhir, Keshav Ramji, Aaron Roth, Surbhi Goel

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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

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Gramian Multimodal Representation Learning and Alignment Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo, Danilo Comminiello

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Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin

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TabWak: A Watermark for Tabular Diffusion Models Chaoyi Zhu, Jiayi Tang, Jeroen Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, Lydia Chen

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Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang, Xu Chen, Xuan Di

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LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov

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Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation Anqi Li, Feng Li, Yuxi Liu, Runmin Cong, Yao Zhao, Huihui Bai

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Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling David Grangier, Simin Fan, Skyler Seto, Pierre Ablin

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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

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L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Morgan B Talbot, Gabriel Kreiman, James DiCarlo, Guy Gaziv

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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

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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

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W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models Shang Wang

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Do LLMs have Consistent Values? Naama Rozen, Liat Bezalel, Gal Elidan, Amir Globerson, Ella Daniel

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Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? Yifan Feng, Chengwu Yang, Xingliang Hou, Shaoyi Du, Shihui Ying, Zongze Wu, Yue Gao

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Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song

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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

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Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On Siqi Wan, Jingwen Chen, Yingwei Pan, Ting Yao, Tao Mei

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Learning under Temporal Label Noise Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen

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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

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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

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Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior Anming Gu, Edward Chien, Kristjan Greenewald

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InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng

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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

Conference

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

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Three-in-One: Fast and Accurate Transducer for Hybrid-Autoregressive ASR Hainan Xu, Travis Bartley, Vladimir Bataev, Boris Ginsburg

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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

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Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View Kaiyue Wen, Zhiyuan Li, Jason Wang, David Hall, Percy Liang, Tengyu Ma

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SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction Jihwan Yoon, Sangbeom Han, Jaeseok Oh, Minsik Lee

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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

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Enhancing End-to-End Autonomous Driving with Latent World Model Yingyan Li, Lue Fan, Jiawei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, Tieniu Tan

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Generalizable Human Gaussians from Single-View Image Jinnan Chen, Chen Li, Jianfeng Zhang, Lingting Zhu, Buzhen Huang, Hanlin Chen, Gim H Lee

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Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita

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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

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Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD Ze Peng, Jian Zhang, Yisen Wang, Lei Qi, Yinghuan Shi, Yang Gao

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EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning Wei Yu, Songheng Yin, Steve Easterbrook, Animesh Garg

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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

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On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux, Max Zimmer, Sebastian Pokutta

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RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code Dhruv Gautam, Spandan Garg, Jinu Jang, Neel Sundaresan, Roshanak Zilouchian

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SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning Lun Huang, Qiang Qiu, Guillermo Sapiro

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PaCA: Partial Connection Adaptation for Efficient Fine-Tuning Sunghyeon Woo, Sol Namkung, SunWoo Lee, Inho Jeong, Beomseok Kim, Dongsuk Jeon

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Do Deep Neural Network Solutions Form a Star Domain? Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh

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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

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Personalized Visual Instruction Tuning Renjie Pi, Jianshu Zhang, Tianyang Han, Jipeng Zhang, Rui Pan, Tong Zhang

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Homomorphism Expressivity of Spectral Invariant Graph Neural Networks Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang

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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

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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

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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

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Differentially private learners for heterogeneous treatment effects Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel

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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

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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

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Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model Yaxuan Huang, Xili Dai, Jianan Wang, Xianbiao Qi, Yixing Yuan, Xiangyu Yue

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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

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Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen

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Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering Kha Pham, Hung Le, Man Ngo, Truyen Tran

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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

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Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael Schaub

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Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

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Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF Tengyang Xie, Dylan Foster, Akshay Krishnamurthy, Corby Rosset, Ahmed H Awadallah, Alexander Rakhlin

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REFINE: Inversion-Free Backdoor Defense via Model Reprogramming Yukun Chen, Shuo Shao, Enhao Huang, Yiming Li, Pin-Yu Chen, Zhan Qin, Kui Ren

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Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits Zihan Zhang, Xiangyang Ji, Yuan Zhou

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Why In-Context Learning Models are Good Few-Shot Learners? Shiguang Wu, Yaqing Wang, Quanming Yao

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CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution Yunju Cho, Jay-Yoon Lee

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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

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On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov, Nadav Dym

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DeLLMa: Decision Making Under Uncertainty with Large Language Models Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger

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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

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Language Imbalance Driven Rewarding for Multilingual Self-improving Wen Yang, Junhong Wu, Chen Wang, Chengqing Zong, Jiajun Zhang

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Learning Causal Alignment for Reliable Disease Diagnosis Mingzhou Liu, Ching-Wen Lee, Xinwei Sun, Xueqing Yu, YU QIAO, Yizhou Wang

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One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment Christina Sartzetaki, Gemma Roig, Cees G Snoek, Iris Groen

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Precedence-Constrained Winter Value for Effective Graph Data Valuation Hongliang Chi, Wei Jin, Charu Aggarwal, Yao Ma

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D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement Yansong Peng, Hebei Li, Peixi Wu, Yueyi Zhang, Xiaoyan Sun, Feng Wu

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Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power Lijia Yu, Yibo Miao, Yifan Zhu, XIAOSHAN GAO, Lijun Zhang

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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

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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

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Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Qizhe Shieh

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qNBO: quasi-Newton Meets Bilevel Optimization Sheng Fang, Yongjin Liu, Wei Yao, Chengming Yu, Jin Zhang

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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

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TRENDy: Temporal Regression of Effective Nonlinear Dynamics Matthew Ricci, Guy Pelc, Zoe Piran, Noa Moriel, Mor Nitzan

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MM-EMBED: UNIVERSAL MULTIMODAL RETRIEVAL WITH MULTIMODAL LLMS Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping

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ADMM for Nonconvex Optimization under Minimal Continuity Assumption Ganzhao Yuan

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Artificial Kuramoto Oscillatory Neurons Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling

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RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style Yantao Liu, Zijun Yao, Rui Min, Yixin Cao, Lei Hou, Juanzi Li

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LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models Ziqi Lu, Heng Yang, Danfei Xu, Boyi Li, Boris Ivanovic, Marco Pavone, Yue Wang

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Synthetic continued pretraining Zitong Yang, Neil Band, Shuangping Li, Emmanuel Candes, Tatsunori Hashimoto

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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

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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

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Learning-Augmented Frequent Directions Anders Aamand, Justin Chen, Siddharth Gollapudi, Sandeep Silwal, Hao WU

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TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann

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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

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Learning system dynamics without forgetting Xikun ZHANG, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao

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The Computational Complexity of Positive Non-Clashing Teaching in Graphs Robert Ganian, Liana Khazaliya, Fionn Mc Inerney, Mathis Rocton

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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

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Transformers Provably Solve Parity Efficiently with Chain of Thought Juno Kim, Taiji Suzuki

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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

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Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics Ahana Deb, Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi

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Autoregressive Video Generation without Vector Quantization Haoge Deng, Ting Pan, Haiwen Diao, Zhengxiong Luo, Yufeng Cui, Huchuan Lu, Shiguang Shan, Yonggang Qi, Xinlong Wang

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Improving Reasoning Performance in Large Language Models via Representation Engineering Bertram Højer, Oliver Jarvis, Stefan Heinrich

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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

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Regularizing Energy among Training Samples for Out-of-Distribution Generalization Yiting Chen, Qitian Wu, Junchi Yan

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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

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Unifying Causal Representation Learning with the Invariance Principle Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello

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Tight Clusters Make Specialized Experts Stefan Nielsen, Rachel Teo, Laziz Abdullaev, Tan Nguyen

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Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios Hongwei Wen, Annika Betken, Hanyuan Hang

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Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Yufa Zhou

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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

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DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life Yu Ying Chiu, Liwei Jiang, Yejin Choi

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StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces Kyeongmin Yeo, Jaihoon Kim, Minhyuk Sung

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Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets Yudong Chen, Xuwei Xu, Frank de Hoog, Jiajun Liu, Sen Wang

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Probabilistic Geometric Principal Component Analysis with application to neural data Han-Lin Hsieh, Maryam Shanechi

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Measuring Non-Adversarial Reproduction of Training Data in Large Language Models Michael Aerni, Javier Rando, Edoardo Debenedetti, Nicholas Carlini, Daphne Ippolito, Florian Tramer

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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

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Second Order Bounds for Contextual Bandits with Function Approximation Aldo Pacchiano

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Bootstrapped Model Predictive Control Yuhang Wang, Hanwei Guo, Sizhe Wang, Long Qian, Xuguang Lan

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PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition Jie Wang, Tingfa Xu, Lihe Ding, Xinjie Zhang, Long Bai, Jianan Li

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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

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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

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Causal Discovery via Bayesian Optimization Bao Duong, Sunil Gupta, Thin Nguyen

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Progressive Parameter Efficient Transfer Learning for Semantic Segmentation Nan Zhou, Huiqun Wang, Yaoyan Zheng, Di Huang

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MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji

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Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries Hang Chen, Chufeng Tang, Xiao Li, Xiaolin Hu

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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

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HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters YUJIE MO, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

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Towards Marginal Fairness Sliced Wasserstein Barycenter Khai Nguyen, Hai Nguyen, Nhat Ho

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Logically Consistent Language Models via Neuro-Symbolic Integration Diego Calanzone, Stefano Teso, Antonio Vergari

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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

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Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness Michael Crawshaw, Mingrui Liu

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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

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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

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STAMP: Scalable Task- And Model-agnostic Collaborative Perception Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu

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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

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Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits Yuta Natsubori, Masataka Ushiku, Yuta Saito

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Scale-aware Recognition in Satellite Images under Resource Constraints Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Kumar Mall, Bharath Hariharan, Kavita Bala

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PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli

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Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu

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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

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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

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Large Language Models are Interpretable Learners Ruochen Wang, Si Si, Felix Yu, Dorothea Rothuizen, Cho-Jui Hsieh, Inderjit Dhillon

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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

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Data Scaling Laws in Imitation Learning for Robotic Manipulation Fanqi Lin, Yingdong Hu, Pingyue Sheng, Chuan Wen, Jiacheng You, Yang Gao

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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

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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

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On the Benefits of Memory for Modeling Time-Dependent PDEs Ricardo Buitrago Ruiz, Tanya Marwah, Albert Gu, Andrej Risteski

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ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts Yuanchen Wu, Junlong Du, Ke Yan, Shouhong Ding, Xiaoqiang Li

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Discriminating image representations with principal distortions Jenelle Feather, David Lipshutz, Sarah Harvey, Alex Williams, Eero Simoncelli

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MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models Jingwei Xu, Junyu Lai, Yunpeng Huang

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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

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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

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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

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Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng, Ricardo Baptista, Katherine Bouman

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Learning to Communicate Through Implicit Communication Channels Han Wang, Binbin Chen, zhang, Baoxiang Wang

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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

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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

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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

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On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson, Nadav Dym

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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

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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

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KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang

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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

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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

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Deconstructing Denoising Diffusion Models for Self-Supervised Learning Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He

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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

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Matérn Kernels for Tunable Implicit Surface Reconstruction Maximilian Weiherer, Bernhard Egger

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Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions Wei Yao, Haian Yin, Shangzhi Zeng, Jin Zhang

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How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning Yao Tong, Jiayuan Ye, Sajjad Zarifzadeh, Reza Shokri

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Adding Conditional Control to Diffusion Models with Reinforcement Learning Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Sunyuan Kung, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali

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See It from My Perspective: How Language Affects Cultural Bias in Image Understanding Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown

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A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization Aron Brenner, Rahman Khorramfar, Jennifer Sun, Saurabh Amin

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Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games Boning Li, Longbo Huang

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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

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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

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Herald: A Natural Language Annotated Lean 4 Dataset Guoxiong Gao, Yutong Wang, Jiedong Jiang, Qi Gao, Zihan Qin, Tianyi Xu, Bin Dong

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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

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Improving Instruction-Following in Language Models through Activation Steering Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi

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Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang

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DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim

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Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning Yan Scholten, Stephan Günnemann

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Bootstrapping Language Models with DPO Implicit Rewards Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

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SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Donglei Yu, Yang Zhao, Jie Zhu, Yangyifan Xu, Yu Zhou, Chengqing Zong

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Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov

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Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos Dayal Singh Kalra, Tianyu He, Maissam Barkeshli

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Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao

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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

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SplatFormer: Point Transformer for Robust 3D Gaussian Splatting Yutong Chen, Marko Mihajlovic, Xiyi Chen, Yiming Wang, Sergey Prokudin, Siyu Tang

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Meta-Continual Learning of Neural Fields Seungyoon Woo, Junhyeog Yun, Gunhee Kim

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Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models Keisuke Kamahori, Tian Tang, Yile Gu, Kan Zhu, Baris Kasikci

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Online-to-Offline RL for Agent Alignment Xu Liu, Haobo Fu, Stefano V. Albrecht, QIANG FU, Shuai Li

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Concept Bottleneck Language Models For Protein Design Aya Ismail, Tuomas Oikarinen, Amy Wang, Julius Adebayo, Samuel Stanton, Hector Corrada Bravo, Kyunghyun Cho, Nathan Frey

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PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders Tianyu Xie, David Harry Tyensoung Richman, Jiansi Gao, Frederick A Matsen, Cheng Zhang

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Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim, Giung Nam, Chulhee Yun, Hongseok Yang, Juho Lee

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Streamlining Prediction in Bayesian Deep Learning Rui Li, Marcus Klasson, Arno Solin, Martin Trapp

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Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

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Many-Objective Multi-Solution Transport Ziyue Li, Tian Li, Virginia Smith, Jeff Bilmes, Tianyi Zhou

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Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Marc T Law, Xiaowen Dong, Michael Bronstein

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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

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Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error Ally Du, Lin Yang, Ruosong Wang

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Do Large Language Models Truly Understand Geometric Structures? Xiaofeng Wang, Yiming Wang, Wenhong Zhu, Rui Wang

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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

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Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition Yufan Hu, Jiang, Wuyang Li, Yixuan Yuan

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Bayesian Optimization via Continual Variational Last Layer Training Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

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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

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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

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HelpSteer2-Preference: Complementing Ratings with Preferences Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong

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Fair Submodular Cover Wenjing Chen, Shuo Xing, Samson Zhou, Victoria Crawford

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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

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GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting Junzhe Jiang, Chun Gu, Yurui Chen, Li Zhang

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MrT5: Dynamic Token Merging for Efficient Byte-level Language Models Julie Kallini, Shikhar Murty, Christopher Manning, Christopher Potts, Róbert Csordás

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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

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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

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CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No

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Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves

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DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models Kaishen Wang, Hengrui Gu, Meijun Gao, Kaixiong Zhou

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On the Almost Sure Convergence of the Stochastic Three Points Algorithm Taha EL BAKKALI EL KADI, Omar Saadi

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Provably Safeguarding a Classifier from OOD and Adversarial Samples Nicolas Atienza, Johanne Cohen, Christophe Labreuche, Michele Sebag

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A Theory of Initialisation's Impact on Specialisation Devon Jarvis, Sebastian Lee, Clementine Domine, Andrew Saxe, Stefano Sarao Mannelli

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Point-SAM: Promptable 3D Segmentation Model for Point Clouds Yuchen Zhou, Jiayuan Gu, Tung Chiang, Fanbo Xiang, Hao Su

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RB-Modulation: Training-Free Stylization using Reference-Based Modulation Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu

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Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

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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

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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

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High-quality Text-to-3D Character Generation with SparseCubes and Sparse Transformers. Jiachen Qian, Hongye Yang, Shuang Wu, Jingxi Xu, Feihu Zhang

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CREAM: Consistency Regularized Self-Rewarding Language Models Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao

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Dense Video Object Captioning from Disjoint Supervision Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid

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Can Watermarks be Used to Detect LLM IP Infringement For Free? Zhengyue Zhao, Xiaogeng Liu, Somesh Jha, Patrick McDaniel, Bo Li, Chaowei Xiao

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Optimal Brain Apoptosis Mingyuan Sun, Zheng Fang, Jiaxu Wang, Junjie Jiang, Delei Kong, Chenming Hu, Yuetong FANG, Renjing Xu

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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

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Track-On: Transformer-based Online Point Tracking with Memory Görkay Aydemir, Xiongyi Cai, Weidi Xie, Fatma Guney

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MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter

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Towards Interpreting Visual Information Processing in Vision-Language Models Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez

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Probabilistic Language-Image Pre-Training Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun

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Vision and Language Synergy for Rehearsal Free Continual Learning Muhammad Anwar Masum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, H Habibullah, Ryszard Kowalczyk

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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

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Long-Context Linear System Identification Oğuz Kaan Yüksel, Mathieu Even, Nicolas Flammarion

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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

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Federated Residual Low-Rank Adaption of Large Language Models Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Lei Zhu, Rick Siow Mong Mong, Yong Liu

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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

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Automatic Curriculum Expert Iteration for Reliable LLM Reasoning Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo

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QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation Yehui Tang, Mabiao Long, Junchi Yan

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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

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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

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Unlearning-based Neural Interpretations Ching Lam Choi, Alexandre Duplessis, Serge Belongie

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LLaMA-Omni: Seamless Speech Interaction with Large Language Models Qingkai Fang, Shoutao Guo, Yan Zhou, Zhengrui Ma, Shaolei Zhang, Yang Feng

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Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting Yicheng Deng, Hideaki Hayashi, Hajime Nagahara

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POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition Yuta Saito, Jihan Yao, Thorsten Joachims

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Federated Granger Causality Learning For Interdependent Clients With State Space Representation Ayush Mohanty, Nazal Mohamed, Paritosh Ramanan, Nagi Gebraeel

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Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations Nils Wandel, Stefan Schulz, Reinhard Klein

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A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic

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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

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Spectro-Riemannian Graph Neural Networks Karish Grover, Haiyang Yu, Xiang song, Qi Zhu, Han Xie, Vassilis Ioannidis, Christos Faloutsos

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Accessing Vision Foundation Models via ImageNet-1K Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu

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Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition Aliyah Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri, Yaxuan Huang, Anobel Odisho, Peter Carroll, Bin Yu

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Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery Yuxuan Zhou, Xien Liu, Chen Ning, Xiao Zhang, Ji Wu

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Learning to engineer protein flexibility Petr Kouba, Joan Planas-Iglesias, Jiri Damborsky, Jiri Sedlar, Stanislav Mazurenko, Josef Sivic

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Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers Tiberiu Mușat

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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

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An Intelligent Agentic System for Complex Image Restoration Problems Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong

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Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws Yiding Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, Zico Kolter

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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

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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

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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

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Structural-Entropy-Based Sample Selection for Efficient and Effective Learning Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu

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Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng

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Sensitivity Verification for Additive Decision Tree Ensembles Arhaan Ahmad, Tanay Tayal, Ashutosh Gupta, S. Akshay

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Quantum (Inspired) $D^2$-sampling with Applications Poojan Shah, Ragesh Jaiswal

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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

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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

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LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models JUNRU SONG, Yang Yang, Huan Xiao, Wei Peng, Wen Yao, Feifei Wang

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A Robust Method to Discover Causal or Anticausal Relation Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu

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Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael Matthews, Michael Beukman, Chris Lu, Jakob Foerster

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Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models Jeffrey Gu, Serena Yeung

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Semantic Aware Representation Learning for Lifelong Learning Fahad Sarfraz, Elahe Arani, Bahram Zonooz

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ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning Pengwei Tang, Xiaolin Hu, Yong Liu

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3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation Dewei Zhou, Ji Xie, Zongxin Yang, Yi Yang

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Noisy Test-Time Adaptation in Vision-Language Models Chentao Cao, Zhun Zhong, (Andrew) Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han

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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

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Reconciling Model Multiplicity for Downstream Decision Making Ally Du, Dung Daniel Ngo, Steven Wu

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ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing Ziteng Wang, Jun Zhu, Jianfei Chen

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ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks Qiang Liu, Mengyu Chu, Nils Thuerey

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Improved Training Technique for Latent Consistency Models Minh Quan Dao, Khanh Doan, Di Liu, Trung Le, Dimitris Metaxas

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xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation Qingchen Yu, Zifan Zheng, Shichao Song, Zhiyu li, Feiyu Xiong, Bo Tang, Ding Chen

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Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness Kangrui Du, Yuhang Wu, Shikuang Deng, Shi Gu

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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

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MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction Hossein Resani, Behrooz Nasihatkon

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Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator xin zhang, Jiawei Du, Ping Liu, Joey Tianyi Zhou

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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

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Sharpness-Aware Black-Box Optimization Feiyang YE, YUEMING LYU, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor Tsang

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Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu

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ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY Chenrui Tie, Yue Chen, Ruihai Wu, Boxuan Dong, Zeyi Li, Chongkai Gao, Hao Dong

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Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning Wassim Bouaziz, Nicolas Usunier, El-Mahdi El-Mhamdi

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Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang

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Repulsive Latent Score Distillation for Solving Inverse Problems Nicolas Zilberstein, Morteza Mardani, Santiago Segarra

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Collapsed Language Models Promote Fairness Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei

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Efficient Model Editing with Task-Localized Sparse Fine-tuning Leonardo Iurada, Marco Ciccone, Tatiana Tommasi

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Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features Feng Ji, Yanan Zhao, KAI ZHAO, Hanyang Meng, Jielong Yang, Wee Peng Tay

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Self-Attention-Based Contextual Modulation Improves Neural System Identification Isaac Lin, Tianye Wang, Shang Gao, Tang Shiming, Tai Lee

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Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows Shuhao Cao, Francesco Brarda, Ruipeng Li, Yuanzhe Xi

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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

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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

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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

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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

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Swing-by Dynamics in Concept Learning and Compositional Generalization Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

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Directional Gradient Projection for Robust Fine-Tuning of Foundation Models Chengyue Huang, Junjiao Tian, Brisa Maneechotesuwan, Shivang Chopra, Zsolt Kira

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Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory Alexander Levine, Peter Stone, Amy Zhang

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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

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LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava

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Discrete Distribution Networks Lei Yang

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Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions Michael Zhang, W. Bradley Knox, Eunsol Choi

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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

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Identification of Intermittent Temporal Latent Process Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang

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Generalized Consistency Trajectory Models for Image Manipulation Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul YE

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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

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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

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On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions Omer Madmon, Idan Pipano, Itamar Jacob Reinman, Moshe Tennenholtz

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Elucidating the Preconditioning in Consistency Distillation Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

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Fine-tuning can Help Detect Pretraining Data from Large Language Models Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei

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Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling Aram Davtyan, Leello Dadi, Volkan Cevher, Paolo Favaro

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Expected Sliced Transport Plans Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri

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Execution-guided within-prompt search for programming-by-example Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani

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Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning Yujian Liu, Shiyu Chang, Tommi Jaakkola, Yang Zhang

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3D Vision-Language Gaussian Splatting Qucheng Peng, Benjamin Planche, Zhongpai Gao, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Chen Chen, Ziyan Wu

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TASAR: Transfer-based Attack on Skeletal Action Recognition Yunfeng Diao, Baiqi Wu, Ruixuan Zhang, Ajian Liu, Xiaoshuai Hao, Xingxing Wei, Meng Wang, He Wang

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On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning Roman Belaire, Arunesh Sinha, Pradeep Varakantham

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RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction Peng Liu, Dongyang Dai, Zhiyong Wu

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Adaptive Retention & Correction: Test-Time Training for Continual Learning Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang

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Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting Yilun Zheng, Xiang Li, Sitao Luan, Xiaojiang Peng, Lihui Chen

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Model-Free Offline Reinforcement Learning with Enhanced Robustness Chi Zhang, Zain Ulabedeen Farhat, George Atia, Yue Wang

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AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation Yukang Cao, Liang Pan, Kai Han, Kwan-Yee K Wong, Ziwei Liu

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Hidden in the Noise: Two-Stage Robust Watermarking for Images Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen

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Adversarial Latent Feature Augmentation for Fairness Hoin Jung, Junyi Chai, Xiaoqian Wang

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Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody Fleming

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Conditional Testing based on Localized Conformal $p$-values Xiaoyang Wu, Lin Lu, Zhaojun Wang, Changliang Zou

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Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space Mengjing Wu, Junyu Xuan, Jie Lu

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Safety Representations for Safer Policy Learning Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie Chen, Samer Nashed, Liam Paull

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Glad: A Streaming Scene Generator for Autonomous Driving Bin Xie, Yingfei Liu, Tiancai Wang, Jiale Cao, Xiangyu Zhang

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Captured by Captions: On Memorization and its Mitigation in CLIP Models Wenhao Wang, Adam Dziedzic, Grace Kim, Michael Backes, Franziska Boenisch

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Reassessing How to Compare and Improve the Calibration of Machine Learning Models Muthu Chidambaram, Rong Ge

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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

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Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen

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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

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Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction Baiting Luo, Ava Pettet, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay

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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

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Towards a Unified and Verified Understanding of Group-Operation Networks Wilson Wu, Louis Jaburi, jacob drori, Jason Gross

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AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction Jingnan Gao, Zhuo Chen, Xiaokang Yang, Yichao Yan

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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

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Select before Act: Spatially Decoupled Action Repetition for Continuous Control Buqing Nie, Yangqing Fu, Yue Gao

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PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, Chunhua Shen

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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

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Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond Qizhou Wang, Jin Zhou, (Andrew) Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Weinberger

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Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

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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

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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

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Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity Mutian He, Philip N. Garner

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Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning Patrik Reizinger, Siyuan Guo, Ferenc Huszar, Bernhard Schölkopf, Wieland Brendel

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Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML Ryan McKenna

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CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening Gen Zhou, Sugitha Janarthanan, Yutong Lu, Pingzhao Hu

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Regularization by Texts for Latent Diffusion Inverse Solvers Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul YE

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Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers Quoc-Vinh Lai-Dang, Taemin Kang, Seungah Son

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Decomposition Polyhedra of Piecewise Linear Functions Marie-Charlotte Brandenburg, Moritz Grillo, Christoph Hertrich

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Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection Chunlei Li, Yilei Shi, Jingliang Hu, Xiaoxiang Zhu, Lichao Mou

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Convex Formulations for Training Two-Layer ReLU Neural Networks Karthik Prakhya, Tolga Birdal, Alp Yurtsever

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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

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DiffPuter: Empowering Diffusion Models for Missing Data Imputation Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip Yu

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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

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Prompting Fairness: Integrating Causality to Debias Large Language Models Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu

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Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection Guojin Zhong, pan wang, Jin Yuan, Zhiyong Li, Long Chen

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One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning Wenxi Lv, Qinliang Su, Wenchao Xu

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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

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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

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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

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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

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Self-Boosting Large Language Models with Synthetic Preference Data Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei

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Dynamic Diffusion Transformer Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You

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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

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A CLIP-Powered Framework for Robust and Generalizable Data Selection Suorong Yang, Peng Ye, Wanli Ouyang, Dongzhan Zhou, Furao Shen

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Weighted-Reward Preference Optimization for Implicit Model Fusion Ziyi Yang, Fanqi Wan, Longguang Zhong, Tianyuan Shi, Xiaojun Quan

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Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding Akash Kumar, Zsolt Kira, Yogesh S Rawat

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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

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Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment Huayu Chen, Hang Su, Peize Sun, Jun Zhu

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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

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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

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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

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Adversarial Attacks on Data Attribution Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi Ma

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Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation Insoo Kim, Hana Lee, Hyong-Euk Lee, Jinwoo Shin

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Lean-STaR: Learning to Interleave Thinking and Proving Haohan Lin, Zhiqing Sun, Sean Welleck, Yiming Yang

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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

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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

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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

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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

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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

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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

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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

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Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro, Dinesh Manocha

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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

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Bias Mitigation in Graph Diffusion Models Meng Yu, Kun Zhan

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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

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On the Optimal Memorization Capacity of Transformers Tokio Kajitsuka, Issei Sato

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Learning from End User Data with Shuffled Differential Privacy over Kernel Densities Tal Wagner

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DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models Hyogon Ryu, NaHyeon Park, Hyunjung Shim

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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

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Sequential Controlled Langevin Diffusions Junhua Chen, Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann, anima anandkumar

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PersonalLLM: Tailoring LLMs to Individual Preferences Thomas Zollo, Andrew Siah, Naimeng Ye, Li, Hongseok Namkoong

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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

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The Superposition of Diffusion Models Using the Itô Density Estimator Marta Skreta, Lazar Atanackovic, Joey Bose, Alexander Tong, Kirill Neklyudov

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KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics Jindou Chen, Jidong Tian, Liang Wu, ChenXinWei, Xiaokang Yang, Yaohui Jin, Yanyan Xu

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Spurious Forgetting in Continual Learning of Language Models Junhao Zheng, Xidi Cai, Shengjie Qiu, Qianli Ma

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Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph Lampert

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Searching for Optimal Solutions with LLMs via Bayesian Optimization Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah

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Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Tekin, Ling Liu

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DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan

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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

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Exploring Learning Complexity for Efficient Downstream Dataset Pruning Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei

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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

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Student-Informed Teacher Training Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza

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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

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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

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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

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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

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Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding Frank Zhengqing Wu, Berfin Simsek, François Ged

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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

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Gradient descent with generalized Newton’s method Zhiqi Bu, Shiyun Xu

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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

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Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning Xiaorui Peng, Yuheng Jia, Fuchao Yang, Ran Wang, Min-Ling Zhang

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MELODI: Exploring Memory Compression for Long Contexts Yinpeng Chen, DeLesley Hutchins, Aren Jansen, Andrey Zhmoginov, David Racz, Jesper Andersen

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Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning Gyoung S. Na, Chanyoung Park

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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

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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

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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

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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

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Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning Joey Hong, Anca Dragan, Sergey Levine

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Simple ReFlow: Improved Techniques for Fast Flow Models Beomsu Kim, Yu-Guan Hsieh, Michal Klein, marco cuturi, Jong Chul YE, Bahjat Kawar, James Thornton

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On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth Gennadiy Averkov, Christopher Hojny, Maximilian Merkert

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Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Xiao, Yingzhen Li, David Barber

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On Calibration of LLM-based Guard Models for Reliable Content Moderation Hongfu Liu, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

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Benchmarking LLMs' Judgments with No Gold Standard Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, Yuqing Kong

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SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting Huajian Huang, Yingshu Chen, Longwei Li, Hui Cheng, Tristan Braud, Yajie Zhao, Sai-Kit Yeung

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Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han

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Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection Song Li, Yang Tan, Song Ke, liang hong, Bingxin Zhou

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Data Distillation for extrapolative protein design through exact preference optimization Mostafa Karimi, Sharmi Banerjee, Tommi Jaakkola, Bella Dubrov, Shang Shang, Ron Benson

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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

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Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent Sayan Banerjee, Krishna Balasubramanian, PROMIT GHOSAL

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Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements Jingyu Zhang, Ahmed Elgohary Ghoneim, Ahmed Magooda, Daniel Khashabi, Ben Van Durme

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Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity Daiyao Yi, Hao Dong, Michael Higley, Anne Churchland, Shreya Saxena

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Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance Sachin Goyal, Christina Baek, Zico Kolter, Aditi Raghunathan

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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

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Compositional simulation-based inference for time series Manuel Gloeckler, Shoji Toyota, Kenji Fukumizu, Jakob Macke

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NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance Raphael Husistein, Markus Reiher, Marco Eckhoff

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Cut Your Losses in Large-Vocabulary Language Models Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Krähenbühl

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MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs jiarui zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski

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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

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Laplace Sample Information: Data Informativeness Through a Bayesian Lens Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis

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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

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Disentangling Representations through Multi-task Learning Pantelis Vafidis, Aman Bhargava, Antonio Rangel

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Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng

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econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians Can Zhang, Gim H Lee

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PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa

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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

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Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? HyoJung Han, Akiko Eriguchi, Haoran Xu, Hieu Hoang, Marine Carpuat, Huda Khayrallah

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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

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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

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What Makes a Good Diffusion Planner for Decision Making? Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li

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Formation of Representations in Neural Networks Liu Ziyin, Isaac Chuang, Tomer Galanti, Tomaso Poggio

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Training on the Test Task Confounds Evaluation and Emergence Ricardo Dominguez-Olmedo, Florian Eddie Dorner, Moritz Hardt

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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

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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

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Generalizing Reasoning Problems to Longer Lengths Changnan Xiao, Bing Liu

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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

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Reflective Gaussian Splatting Yuxuan Yao, Zixuan Zeng, Chun Gu, Xiatian Zhu, Li Zhang

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Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu

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Attention as a Hypernetwork Simon Schug, Seijin Kobayashi, Yassir Akram, Joao Sacramento, Razvan Pascanu

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Flow-based Variational Mutual Information: Fast and Flexible Approximations Caleb Dahlke, Jason Pacheco

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Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek

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Boosting the visual interpretability of CLIP via adversarial fine-tuning Shizhan Gong, Haoyu LEI, Qi Dou, Farzan Farnia

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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

Conference

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

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Standardizing Structural Causal Models Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause

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FACTS: A Factored State-Space Framework for World Modelling Li Nanbo, Firas Laakom, Yucheng XU, Wenyi Wang, Jürgen Schmidhuber

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Selective Label Enhancement Learning for Test-Time Adaptation Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu

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DICE: Data Influence Cascade in Decentralized Learning Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He

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TFG-Flow: Training-free Guidance in Multimodal Generative Flow Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma

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Strong Preferences Affect the Robustness of Preference Models and Value Alignment Ziwei Xu, Mohan Kankanhalli

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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

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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

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GROOT-2: Weakly Supervised Multimodal Instruction Following Agents Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

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VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models Lisa Dunlap, Krishna Mandal, trevor darrell, Jacob Steinhardt, Joseph E Gonzalez

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ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Humphrey Shi, Yunchao Wei

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GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Jixun Yao, Hexin Liu, CHEN CHEN, Yuchen Hu, Ensiong Chng, Lei Xie

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On a Connection Between Imitation Learning and RLHF Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant Honavar

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The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation Fredrik Carlsson, Fangyu Liu, Daniel Ward, Murathan Kurfali, Joakim Nivre

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Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks? Jonathan Roberts, Kai Han, Samuel Albanie

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Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs Yuzhou Chen, Yulia Gel

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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

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Look Before You Leap: Universal Emergent Mechanism for Retrieval in Language Models Alexandre Variengien, Eric Winsor

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Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos Gengshan Yang, Andrea Bajcsy, Shunsuke Saito, Angjoo Kanazawa

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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

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Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models Wenxuan Zhang, Philip Torr, Mohamed Elhoseiny, Adel Bibi

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Training-Free Message Passing for Learning on Hypergraphs Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong

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Higher-Order Graphon Neural Networks: Approximation and Cut Distance Daniel Herbst, Stefanie Jegelka

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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

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Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions Lingjie Yi, Michael Yao, Weimin Lyu, Haibin Ling, Raphael Douady, Chao Chen

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Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian

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Benchmarking Agentic Workflow Generation Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

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Forgetting Transformer: Softmax Attention with a Forget Gate Zhixuan Lin, Evgenii Nikishin, Xu He, Aaron Courville

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Precise Parameter Localization for Textual Generation in Diffusion Models Łukasz Staniszewski, Bartosz Cywiński, Franziska Boenisch, Kamil Deja, Adam Dziedzic

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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

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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

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Generating Likely Counterfactuals Using Sum-Product Networks Jiří Němeček, Tomáš Pevný, Jakub Marecek

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Toward Understanding In-context vs. In-weight Learning Bryan Chan, Xinyi Chen, Andras Gyorgy, Dale Schuurmans

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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

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Dreamweaver: Learning Compositional World Models from Pixels Junyeob Baek, Yi-Fu Wu, Gautam Singh, Sungjin Ahn

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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

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General Scene Adaptation for Vision-and-Language Navigation Haodong Hong, Yanyuan Qiao, Sen Wang, Jiajun Liu, Qi Wu

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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

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Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee, Seungju Cho, Changick Kim

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Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free Ziyue Li, Tianyi Zhou

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Can Transformers Do Enumerative Geometry? Baran Hashemi, Roderic Corominas, Alessandro Giacchetto

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From Tokens to Words: On the Inner Lexicon of LLMs Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz

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Associative memory and dead neurons Vladimir Fanaskov, Ivan Oseledets

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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

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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

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OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation Yuchen Lin, Chenguo Lin, Jianjin Xu, Yadong MU

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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

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TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation Mohan Xu, Kai Li, Guo Chen, Xiaolin Hu

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Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Robert Hönig, Javier Rando, Nicholas Carlini, Florian Tramer

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MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling Rachel Teo, Tan Nguyen

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Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez

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Computational Explorations of Total Variation Distance Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran

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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

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KAN: Kolmogorov–Arnold Networks Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Hou, Max Tegmark

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ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models Jeonghoon Shim, Gyuhyeon Seo, Cheongsu Lim, Yohan Jo

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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

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Learning Dynamics of LLM Finetuning YI REN, Danica Sutherland

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$\mathbb{X}$-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

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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

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Aligning Visual Contrastive learning models via Preference Optimization Amirabbas Afzali, Borna khodabandeh, Ali Rasekh, Mahyar JafariNodeh, Sepehr Ranjbar, Simon Gottschalk

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Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching Renjie Pan, Jihao Dong, Hua Yang

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Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation Qing Wu, Chenhe Du, Xuanyu Tian, Jingyi Yu, Yuyao Zhang, Hongjiang Wei

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A Sanity Check for AI-generated Image Detection Shilin Yan, Ouxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang, Yao Hu, Weidi Xie

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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

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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

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Endless Jailbreaks with Bijection Learning Brian R.Y. Huang, Max Li, Leonard Tang

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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

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Causal Identification for Complex Functional Longitudinal Studies Andrew Ying

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Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control Songyuan Zhang, Oswin So, Mitchell Black, Chuchu Fan

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Efficient Biological Data Acquisition through Inference Set Design Ihor Neporozhnii, Julien Roy, Emmanuel Bengio, Jason Hartford

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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

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Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang, Pei Zhang, Baosong Yang, Derek Wong, Rui Wang

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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

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An Effective Theory of Bias Amplification Arjun Subramonian, Samuel Bell, Levent Sagun, Elvis Dohmatob

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Integral Performance Approximation for Continuous-Time Reinforcement Learning Control Brent Wallace, Jennie Si

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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

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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

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Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians Ishan Amin, Sanjeev Raja, Aditi Krishnapriyan

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Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang

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Improving Large Language Model Planning with Action Sequence Similarity Xinran Zhao, Hanie Sedghi, Bernd Bohnet, Dale Schuurmans, Azade Nazi

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ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Qixiang Ye

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Modeling dynamic social vision highlights gaps between deep learning and humans Kathy Garcia, Emalie McMahon, Colin Conwell, Michael Bonner, Leyla Isik

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Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons Shahaf Bassan, Ron Eliav, Shlomit Gur

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Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Can Pouliquen, Mathurin Massias, Titouan Vayer

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OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning Xiaoqiang Wang, Bang Liu

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Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models Fu-Yun Wang, Yunhao Shui, Jingtan Piao, Keqiang Sun, Hongsheng Li

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Adversarial Generative Flow Network for Solving Vehicle Routing Problems Ni Zhang, Jingfeng Yang, Zhiguang Cao, Xu Chi

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Efficient stagewise pretraining via progressive subnetworks Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu, Sobhan Miryoosefi, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar

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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

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Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun

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SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration Jintao Zhang, Jia wei, Pengle Zhang, Jun Zhu, Jianfei Chen

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Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

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MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL Claas Voelcker, Marcel Hussing, ERIC EATON, Amir-massoud Farahmand, Igor Gilitschenski

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Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis Hongkang Li, Songtao Lu, Pin-Yu Chen, Xiaodong Cui, Meng Wang

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Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount Yanbiao Ma, Wei Dai, Jiayi Chen

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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

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Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis Qi Chen, Jierui Zhu, Florian Shkurti

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uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang

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GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz

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Scaling Laws for Precision Tanishq Kumar, Zachary Ankner, Benjamin Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Re, Aditi Raghunathan

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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

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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

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RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning Chenglong Kang, Xiaoyi Liu, Fei Guo

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TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident Yixuan Zhou, Long Bai, Sijia Cai, Bing Deng, Xing Xu, Heng Tao Shen

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On Linear Representations and Pretraining Data Frequency in Language Models Jack Merullo, Noah Smith, Sarah Wiegreffe, Yanai Elazar

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Learning Spatiotemporal Dynamical Systems from Point Process Observations Valerii Iakovlev, Harri Lähdesmäki

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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

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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

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Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging Behrooz Tahmasebi, Stefanie Jegelka

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Scalable Decentralized Learning with Teleportation Yuki Takezawa, Sebastian Stich

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The Foundations of Tokenization: Statistical and Computational Concerns Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell

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Online Clustering with Nearly Optimal Consistency T-H. Hubert Chan, Shaofeng Jiang, Tianyi Wu, Mengshi Zhao

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MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models Mohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, Mahdi Soltanolkotabi

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$\gamma-$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

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Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula Youssef Shehata, Benjamin Holzschuh, Nils Thuerey

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DisPose: Disentangling Pose Guidance for Controllable Human Image Animation Hongxiang Li, Yaowei Li, Yuhang Yang, Junjie Cao, Zhihong Zhu, Xuxin Cheng, Long Chen

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Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification Wen Wen, Han Li, Tieliang Gong, Hong Chen

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Vertical Federated Learning with Missing Features During Training and Inference Pedro Valdeira, Shiqiang Wang, Yuejie Chi

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Large Convolutional Model Tuning via Filter Subspace Wei Chen, Zichen Miao, Qiang Qiu

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Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos Theodorou, Molei Tao

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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

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Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering Sheng Liu, Haotian Ye, James Y Zou

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Contrastive Learning from Synthetic Audio Doppelgängers Manuel Cherep, Nikhil Singh

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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

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Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn

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Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar

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Multi-Scale Fusion for Object Representation Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen

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A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems Shulan Zhu, Chenglong Bao, Defeng Sun, Yancheng Yuan

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Generating Graphs via Spectral Diffusion GIORGIA MINELLO, Alessandro Bicciato, Luca Rossi, Andrea Torsello, Luca Cosmo

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ParetoFlow: Guided Flows in Multi-Objective Optimization Ye Yuan, Can Chen, Christopher Pal, Xue Liu

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Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen

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State Space Models are Provably Comparable to Transformers in Dynamic Token Selection Naoki Nishikawa, Taiji Suzuki

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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

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Probing the Latent Hierarchical Structure of Data via Diffusion Models Antonio Sclocchi, Alessandro Favero, Noam Levi, Matthieu Wyart

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ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention Qiuhao Zeng, Jierui Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang

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Bayesian Analysis of Combinatorial Gaussian Process Bandits Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani

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Direct Distributional Optimization for Provable Alignment of Diffusion Models Ryotaro Kawata, Kazusato Oko, Atsushi Nitanda, Taiji Suzuki

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How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations Siddhartha Gairola, Moritz Böhle, Francesco Locatello, Bernt Schiele

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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

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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

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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

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No Preference Left Behind: Group Distributional Preference Optimization Binwei Yao, Zefan Cai, Yun-Shiuan Chuang, Shanglin Yang, Ming Jiang, Diyi Yang, Junjie Hu

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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

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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

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PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung Park

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Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers Shijie Chen, Bernal Jimenez Gutierrez, Yu Su

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PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores Guangyi Wang, Yuren Cai, lijiang Li, Wei Peng, Song-Zhi Su

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Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong

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Bayesian Experimental Design Via Contrastive Diffusions Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes

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AI Sandbagging: Language Models can Strategically Underperform on Evaluations Teun van der Weij, Felix Hofstätter, Oliver Jaffe, Samuel Brown, Francis Ward

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Towards Continuous Reuse of Graph Models via Holistic Memory Diversification Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo, Hui Xiong

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Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations Katie Matton, Robert Ness, John Guttag, Emre Kiciman

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Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion Harel Mendelman, Ronen Talmon

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Towards hyperparameter-free optimization with differential privacy Ruixuan Liu, Zhiqi Bu

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NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions Tue Cao, Nhat Hoang-Xuan, Hieu Pham, Phi Le Nguyen, My Thai

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Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets Xu Wang, Fuyou Miao, Wenjie Liu, Yan Xiong

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SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model Yue Zhang, Zhiyang Xu, Ying Shen, Parisa Kordjamshidi, Lifu Huang

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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

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Hyperbolic Genome Embeddings Raiyan Khan, Philippe Chlenski, Itsik Pe'er

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Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

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ToolGen: Unified Tool Retrieval and Calling via Generation Renxi Wang, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin, Haonan Li

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Regulatory DNA Sequence Design with Reinforcement Learning Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen

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LeanAgent: Lifelong Learning for Formal Theorem Proving Adarsh Kumarappan, Mohit Tiwari, Peiyang Song, Robert Joseph George, Chaowei Xiao, anima anandkumar

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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

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Contextualizing biological perturbation experiments through language Menghua (Rachel) Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter

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Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance Dimitris Oikonomou, Nicolas Loizou

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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

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Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li, Yuanzhi Li

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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

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Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion Chaodong Xiao, Minghan Li, zhengqiang ZHANG, Deyu Meng, Lei Zhang

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Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Arik, Tomas Pfister

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Event-Driven Online Vertical Federated Learning Ganyu Wang, Boyu Wang, Bin Gu, Charles Ling

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Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction Zilin Fang, David Hsu, Gim H Lee

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P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS Malyaban Bal, Abhronil Sengupta

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Holistically Evaluating the Environmental Impact of Creating Language Models Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge

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MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao

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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

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Can One Modality Model Synergize Training of Other Modality Models? Jae-Jun Lee, Sung Whan Yoon

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nGPT: Normalized Transformer with Representation Learning on the Hypersphere Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg

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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

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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

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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

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Lightweight Neural App Control Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye HAO, Jun Wang, Kun Shao

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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

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A new framework for evaluating model out-of-distribution generalisation for the biochemical domain Raul Fernandez-Diaz, Hoang Thanh Lam, Vanessa Lopez, Denis Shields

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Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Aleksandr Korotin

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Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz

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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

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GRAIN: Exact Graph Reconstruction from Gradients Maria Drencheva, Ivo Petrov, Maximilian Baader, Dimitar I. Dimitrov, Martin Vechev

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Diffusion Feedback Helps CLIP See Better Wenxuan Wang, Quan Sun, Fan Zhang, Yepeng Tang, Jing Liu, Xinlong Wang

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Large Scale Knowledge Washing Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian McAuley

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Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection Chuhan ZHANG, Chaoyang Zhu, Pingcheng Dong, Long Chen, Dong Zhang

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CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion Shoubin Yu, Jaehong Yoon, Mohit Bansal

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Union-over-Intersections: Object Detection beyond Winner-Takes-All Aritra Bhowmik, Pascal Mettes, Martin R. Oswald, Cees G Snoek

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Multimodal Quantitative Language for Generative Recommendation Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian

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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

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Fitting Networks with a Cancellation Trick Jiashun Jin, Jingming Wang

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Improving Uncertainty Estimation through Semantically Diverse Language Generation Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter

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How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning Arthur Jacot, Seok Hoan Choi, Yuxiao Wen

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Policy Design in Long-run Welfare Dynamics Jiduan Wu, Rediet Abebe, Moritz Hardt, Ana-Andreea Stoica

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Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions Peiyao Lai, Oren Mangoubi

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Causal Graphical Models for Vision-Language Compositional Understanding Fiorenzo Parascandolo, Nicholas Moratelli, Enver Sangineto, Lorenzo Baraldi, Rita Cucchiara

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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

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Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment Aadirupa Saha, Pierre Gaillard

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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

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DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye HAO, Jun Wang, Kun Shao

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UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong

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Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning Xiaochuan Li, Zichun Yu, Chenyan Xiong

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EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation Carl Qi, Dan Haramati, Tal Daniel, Aviv Tamar, Amy Zhang

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Fast Feedforward 3D Gaussian Splatting Compression Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai

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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

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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

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Flow: Modularized Agentic Workflow Automation Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu

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Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause

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SOREL: A Stochastic Algorithm for Spectral Risks Minimization Yuze Ge, Rujun Jiang

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Isometric Regularization for Manifolds of Functional Data Hyeongjun Heo, Seonghun Oh, JaeYong Lee, Young Min Kim, Yonghyeon Lee

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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

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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

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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

Conference

Accelerating Diffusion Transformers with Token-wise Feature Caching Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang

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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

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GLOMA: Global Video Text Spotting with Morphological Association Han Wang, Yanjie Wang, Yang Li, Can Huang

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The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling

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TeaserGen: Generating Teasers for Long Documentaries Weihan Xu, Paul Pu Liang, Haven Kim, Julian McAuley, Taylor Berg-Kirkpatrick, Hao-Wen (Herman) Dong

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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

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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

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Cached Multi-Lora Composition for Multi-Concept Image Generation Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao

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Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids Tianyuan Jin, Qin Zhang, Dongruo Zhou

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Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill

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GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering Hongze CHEN, Zehong Lin, Jun Zhang

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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

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Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji

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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

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Epistemic Monte Carlo Tree Search Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan, Wendelin Boehmer

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Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling Timothee Leleu, Sam Reifenstein

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On-the-fly Preference Alignment via Principle-Guided Decoding Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao

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Controlled LLM Decoding via Discrete Auto-regressive Biasing Patrick Pynadath, Ruqi Zhang

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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

Conference

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

Conference

Connecting Federated ADMM to Bayes Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez

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Distilling Dataset into Neural Field Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-chul Moon

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Adversarial Mixup Unlearning Zhuoyi Peng, Yixuan Tang, Yi Yang

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Kolmogorov-Arnold Transformer Xingyi Yang, Xinchao Wang

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Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation Yan Sun, Stanley Kok

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ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences Yuxin Wang, Xiaomeng Zhu, Weimin Lyu, Saeed Hassanpour, Soroush Vosoughi

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Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks Danni Yuan, Mingda Zhang, Shaokui Wei, Li Liu, Baoyuan Wu

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MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization Bhavya, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza

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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

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TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice Shen Yan, Xingyan Bin, Sijun Zhang, Yisen Wang, Zhouchen Lin

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Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters Roberto Garcia, Jerry Liu, Daniel Sorvisto, Sabri Eyuboglu

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Revisiting Large-Scale Non-convex Distributionally Robust Optimization Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou

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Horizon Generalization in Reinforcement Learning Vivek Myers, Catherine Ji, Benjamin Eysenbach

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FaceShot: Bring Any Character into Life Junyao Gao, Yanan Sun, Fei Shen, Xin Jiang, Zhening Xing, Kai Chen, Cai Zhao

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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

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FreSh: Frequency Shifting for Accelerated Neural Representation Learning Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemysław Spurek

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Improved Sampling Algorithms for Lévy-Itô Diffusion Models Vadim Popov, Assel Yermekova, Tasnima Sadekova, Artem Khrapov, Mikhail Kudinov

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Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning Mianchu Wang, Yue Jin, Giovanni Montana

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The Geometry of Categorical and Hierarchical Concepts in Large Language Models Kiho Park, Yo Joong Choe, Yibo Jiang, Victor Veitch

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On Rollouts in Model-Based Reinforcement Learning Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe

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Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure Samet Demir, Zafer Dogan

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Test-time Adaptation for Cross-modal Retrieval with Query Shift Haobin Li, Peng Hu, Qianjun Zhang, Xi Peng, XitingLiu, Mouxing Yang

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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

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SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li

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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

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NRGBoost: Energy-Based Generative Boosted Trees João Bravo

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MotherNet: Fast Training and Inference via Hyper-Network Transformers Andreas Mueller, Carlo Curino, Raghu Ramakrishnan

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Self-Improvement in Language Models: The Sharpening Mechanism Audrey Huang, Adam Block, Dylan Foster, Dhruv Rohatgi, Cyril Zhang, Max Simchowitz, Jordan Ash, Akshay Krishnamurthy

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Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents Bolun Sun, Yifan Zhou, Haiyun Jiang

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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

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MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao

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Reasoning Elicitation in Language Models via Counterfactual Feedback Alihan Hüyük, Xinnuo Xu, Jacqueline Maasch, Aditya Nori, Javier Hernandez

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No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models Seyedmorteza Sadat, Manuel Kansy, Otmar Hilliges, Romann Weber

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AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection Wei Dai, Jicong Fan

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Elliptic Loss Regularization Ali Hasan, Haoming Yang, Yuting Ng, VAHID TAROKH

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EmbedLLM: Learning Compact Representations of Large Language Models Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran

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AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption Joonsung Jeon, Woo Jae Kim, Suhyeon Ha, Sooel Son, Sung-eui Yoon

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Projection Head is Secretly an Information Bottleneck Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang

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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

Conference

Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models Zeyu Yang, Zijie Pan, Chun Gu, Li Zhang

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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

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ReMatching Dynamic Reconstruction Flow Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon

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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

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Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino, Tobias Pfaff, Nils Thuerey

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Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks Bhaskar Mukhoty, Hilal AlQuabeh, Bin Gu

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Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions Sagar Shrestha, Xiao Fu

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AutoG: Towards automatic graph construction from tabular data Zhikai Chen, Han Xie, Jian Zhang, Xiang song, Jiliang Tang, Huzefa Rangwala, George Karypis

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Privacy-Aware Lifelong Learning Ozan Özdenizci, Elmar Rueckert, Robert Legenstein

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Human-inspired Episodic Memory for Infinite Context LLMs Zafeirios Fountas, Martin A Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou Ammar, Jun Wang

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ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample $V$-Ensemble Tianyuan Chen, Ronglong Cai, Faguo Wu, Xiao Zhang

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Diffusion Policy Policy Optimization Allen Ren, Justin Lidard, Lars Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz

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Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu

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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

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3D-Properties: Identifying Challenges in DPO and Charting a Path Forward Yuzi Yan, Yibo Miao, Jialian Li, YipinZhang, Jian Xie, Zhijie Deng, Dong Yan

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Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization Hao Dong, Eleni Chatzi, Olga Fink

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R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li

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Asymmetric Factorized Bilinear Operation for Vision Transformer Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu

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Federated Domain Generalization with Data-free On-server Matching Gradient Binh Nguyen, Minh-Duong Nguyen, Jinsun Park, Viet Pham, Won-Joo Hwang

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Valid Conformal Prediction for Dynamic GNNs Ed Davis, Ian Gallagher, Daniel Lawson, Patrick Rubin-Delanchy

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Black-Box Detection of Language Model Watermarks Thibaud Gloaguen, Nikola Jovanović, Robin Staab, Martin Vechev

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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

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Anti-Exposure Bias in Diffusion Models Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

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Credit-based self organizing maps: training deep topographic networks with minimal performance degradation Amir Ozhan Dehghani, Xinyu Qian, Asa Farahani, Pouya Bashivan

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Aligning Human Motion Generation with Human Perceptions Haoru Wang, Wentao Zhu, Luyi Miao, Yishu Xu, Feng Gao, Qi Tian, Yizhou Wang

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Wavelet-based Positional Representation for Long Context Yui Oka, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito

Conference

Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning Calarina Muslimani, Matthew E Taylor

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Solving hidden monotone variational inequalities with surrogate losses Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel

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Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, Andrew Bagdanov

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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

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Satisficing Regret Minimization in Bandits Qing Feng, Tianyi Ma, Ruihao Zhu

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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

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BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments Xinghao Wang, Pengyu Wang, Bo Wang, Dong Zhang, Yunhua Zhou, Xipeng Qiu

Conference

Test-time Adaptation for Regression by Subspace Alignment Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami

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Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong

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TabM: Advancing tabular deep learning with parameter-efficient ensembling Yury Gorishniy, Akim Kotelnikov, Artem Babenko

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Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games? Yuheng Li, Wang Panpan, Haipeng Chen

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Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models Javier Ferrando, Oscar Obeso, Senthooran Rajamanoharan, Neel Nanda

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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

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LLMs Can Plan Only If We Tell Them Bilgehan Sel, Ruoxi Jia, Ming Jin

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RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation Chenxi Zheng, Yihong Lin, Bangzhen Liu, Xuemiao Xu, Yongwei Nie, Shengfeng He

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Exploring a Principled Framework for Deep Subspace Clustering Xianghan Meng, Zhiyuan Huang, Wei He, Xianbiao Qi, Rong Xiao, Chun-Guang Li

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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

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Simplifying Deep Temporal Difference Learning Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja, Jakob Foerster, Mario Martin

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DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation HAN SUN, Rui Gong, Ismail Nejjar, Olga Fink

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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

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Deep Learning Alternatives Of The Kolmogorov Superposition Theorem Leonardo Ferreira Guilhoto, Paris Perdikaris

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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

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Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hanna Hajishirzi, Ashish Sabharwal

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Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning Jiajun Chai, Sicheng Li, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu

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ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yingzhe He, Jie Shi, Xiaolin Hu

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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

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Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach

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Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting Yu Liu, Baoxiong Jia, Ruijie Lu, Junfeng Ni, Song-Chun Zhu, Siyuan Huang

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Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data Seiji Maekawa, Hayate Iso, Nikita Bhutani

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Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari, Omer Gottesman, George D Konidaris

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MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow Hanzhuo Huang, Yuan Liu, Ge Zheng, Jiepeng Wang, Zhiyang Dou, Sibei Yang

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ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding Zhengzhuo Xu, Bowen Qu, Yiyan Qi, SiNan Du, Chengjin Xu, Chun Yuan, Jian Guo

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On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu

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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

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Lightweight Predictive 3D Gaussian Splats Junli Cao, Vidit Goel, Chaoyang Wang, Anil Kag, Ju Hu, Sergei Korolev, Chenfanfu Jiang, Sergey Tulyakov, Jian Ren

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CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang

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Uncovering Gaps in How Humans and LLMs Interpret Subjective Language Erik Jones, Arjun Patrawala, Jacob Steinhardt

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RESuM: A Rare Event Surrogate Model for Physics Detector Design Ann-Kathrin Schuetz, Alan Poon, Aobo Li

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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

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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

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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

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Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling Wei Guo, Molei Tao, Yongxin Chen

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Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning Chongjie Si, Zhiyi Shi, Shifan Zhang, Xiaokang Yang, Hanspeter Pfister, Wei Shen

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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

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Solving Video Inverse Problems Using Image Diffusion Models Taesung Kwon, Jong Chul YE

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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

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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

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Descent with Misaligned Gradients and Applications to Hidden Convexity Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit

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SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction Lu Dai, Yijie Xu, Jinhui Ye, Hao Liu, Hui Xiong

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Attributing Culture-Conditioned Generations to Pretraining Corpora Huihan Li, Arnav Goel, Keyu He, Xiang Ren

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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

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Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates Xiuchuan Li, Jun Wang, Tongliang Liu

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ProtPainter: Draw or Drag Protein via Topology-guided Diffusion Zhengxi Lu, Shizhuo Cheng, Yuru Jiang, Yan Zhang, Min Zhang

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UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation Huimin LU, Masaru Isonuma, Junichiro Mori, Ichiro Sakata

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Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li

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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

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Disentangled Representation Learning with the Gromov-Monge Gap Théo Uscidda, Luca Eyring, Karsten Roth, Fabian Theis, Zeynep Akata, marco cuturi

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$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Junseo Park, Hyeryung Jang

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A Truncated Newton Method for Optimal Transport Mete Kemertas, Amir-massoud Farahmand, Allan Jepson

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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

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Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors Weixuan Wang, JINGYUAN YANG, Wei Peng

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Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors Chen Ma, Xinjie Xu, Shuyu Cheng, Qi Xuan

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Guaranteed Generation from Large Language Models Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, Marc Dymetman

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Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi

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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

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pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation Shentong Mo, Xufang Luo, Dongsheng Li

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Generating Physical Dynamics under Priors Zihan Zhou, Xiaoxue Wang, Tianshu Yu

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Uncovering Overfitting in Large Language Model Editing Mengqi Zhang, Xiaotian Ye, Qiang Liu, shu wu, Pengjie Ren, Zhumin Chen

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Watermark Anything With Localized Messages Tom Sander, Pierre Fernandez, Alain Oliviero Durmus, Teddy Furon, Matthijs Douze

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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

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Fast unsupervised ground metric learning with tree-Wasserstein distance Kira Michaela Düsterwald, Samo Hromadka, Makoto Yamada

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Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Zhaopeng Tu, Tao Lin

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A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence Mingyang Liu, Gabriele Farina, Asuman Ozdaglar

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A Computational Framework for Modeling Emergence of Color Vision in the Human Brain Atsunobu Kotani, Yi-Ren Ng

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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

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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

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Preference Diffusion for Recommendation Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua

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Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning Yixian Zhang, Huaze Tang, Huijing Lin, Wenbo Ding

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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

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Adaptive Gradient Clipping for Robust Federated Learning Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan

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Fast Uncovering of Protein Sequence Diversity from Structure Luca Alessandro Silva, Barthelemy Meynard-Piganeau, Carlo Lucibello, Christoph Feinauer

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CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes Yang Liu, Chuanchen Luo, Zhongkai Mao, Junran Peng, Zhaoxiang Zhang

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Detecting Backdoor Samples in Contrastive Language Image Pretraining Hanxun Huang, Sarah Erfani, Yige Li, Xingjun Ma, James Bailey

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Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki

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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

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Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness Shroff

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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

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Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji

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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

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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

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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

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Not All Language Model Features Are One-Dimensionally Linear Josh Engels, Eric Michaud, Isaac Liao, Wes Gurnee, Max Tegmark

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Meta-Dynamical State Space Models for Integrative Neural Data Analysis Ayesha Vermani, Josue Nassar, Hyungju Jeon, Matthew Dowling, Il Memming Park

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Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies Yongxin Guo, Xiaoying Tang, Tao Lin

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Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich Nax, Niao He

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Training Robust Ensembles Requires Rethinking Lipschitz Continuity Ali Ebrahimpour Boroojeny, Hari Sundaram, Varun Chandrasekaran

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Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish, Kumar Dubey, Snigdha Chaturvedi

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Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse Arthur Jacot, Peter Súkeník, Zihan Wang, Marco Mondelli

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Training-free Camera Control for Video Generation Chen Hou, Zhibo Chen

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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

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Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-chul Moon

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Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images Yubo Wang, Jianting Tang, Liu, Linli Xu

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UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate Julián Tachella, Mike Davies, Laurent Jacques

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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

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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

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Multi-domain Distribution Learning for De Novo Drug Design Arne Schneuing, Ilia Igashov, Adrian Dobbelstein, Thomas Castiglione, Michael Bronstein, Bruno Correia

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ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning, Eric Nalisnick, Christophe Ley, Padhraic Smyth, Thomas Hamelryck

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Neuron based Personality Trait Induction in Large Language Models Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao yang, Xin Zhao, Ji-Rong Wen

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Zero-Shot Natural Language Explanations Fawaz Sammani, Nikos Deligiannis

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Fourier Head: Helping Large Language Models Learn Complex Probability Distributions Nate Gillman, Daksh Aggarwal, Michael Freeman, Chen Sun

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Influence-Guided Diffusion for Dataset Distillation Mingyang Chen, Jiawei Du, Bo Huang, Yi Wang, Xiaobo Zhang, Wei Wang

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UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation Tao Zhang, Jinyong Wen, Zhen Chen, Kun Ding, Shiming Xiang, Chunhong Pan

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Skill Expansion and Composition in Parameter Space Tenglong Liu, Jianxiong Li, Yinan Zheng, Haoyi Niu, Yixing Lan, Xin Xu, Xianyuan Zhan

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Towards Scalable Topological Regularizers Wong Hiu-Tung, Darrick Lee, Hong Yan

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OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune

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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

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Does Refusal Training in LLMs Generalize to the Past Tense? Maksym Andriushchenko, Nicolas Flammarion

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Differentially Private Federated Learning with Time-Adaptive Privacy Spending Shahrzad Kianidehkordi, Nupur Kulkarni, Adam Dziedzic, Stark Draper, Franziska Boenisch

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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

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Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks Théophane Vallaeys, Matthew J Muckley, Jakob Verbeek, Matthijs Douze

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Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao

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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

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Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations Takashi Furuya, Koichi Taniguchi, Satoshi Okuda

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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

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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

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Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz

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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

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Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy Zhenghai Xue, Bo An, Shuicheng YAN

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Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning Oleh Kolner, Thomas Ortner, Stanisław Woźniak, Angeliki Pantazi

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PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching Daniel Rose, Oliver Wieder, Thomas Seidel, Thierry Langer

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Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen, Konstantin Hess, Stefan Feuerriegel

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Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu

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Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid Mingxin Huang, Yuliang Liu, Dingkang Liang, Lianwen Jin, Xiang Bai

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Physics of Language Models: Part 3.2, Knowledge Manipulation Zeyuan Allen-Zhu, Yuanzhi Li

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PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph Dazhou Yu, Genpei Zhang, Liang Zhao

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Neural Interactive Proofs Lewis Hammond, Sam Adam-Day

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Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct Christopher Ackerman, Nina Panickssery

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NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains Wonje Choi, Jinwoo Park, Sanghyun Ahn, Daehee Lee, Honguk Woo

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DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References Xueyi Liu, Jianibieke Adalibieke, Qianwei Han, Yuzhe Qin, Li Yi

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JetFormer: An autoregressive generative model of raw images and text Michael Tschannen, André Susano Pinto, Alexander Kolesnikov

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The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat, Mohammad Pezeshki, Elvis Dohmatob, David Lopez-Paz, Pascal Vincent

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NL-Eye: Abductive NLI For Images Mor Ventura, Michael Toker, Nitay Calderon, Zorik Gekhman, Yonatan Bitton, Roi Reichart

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Realistic Evaluation of Deep Partial-Label Learning Algorithms Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama

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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

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Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition Zhong Zheng, Haochen Zhang, Lingzhou Xue

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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

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Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan

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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

Conference

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

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Dataset Ownership Verification in Contrastive Pre-trained Models Yuechen Xie, Jie Song, Mengqi Xue, Haofei Zhang, Xingen Wang, Bingde Hu, Genlang Chen, Mingli Song

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Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment Haoyuan Wu, Haisheng Zheng, Yuan Pu, Bei Yu

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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

Conference

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

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Model Equality Testing: Which Model is this API Serving? Irena Gao, Percy Liang, Carlos Guestrin

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SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li

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NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng YOU, Zhiyu Zhu, Hui LIU, Junhui Hou

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Input Space Mode Connectivity in Deep Neural Networks Jakub Vrabel, Ori Shem-ur, Yaron Oz, David Krueger

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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

Conference

Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling Guiyu Zhang, Huan-ang Gao, Zijian Jiang, Hao Zhao, Zhedong Zheng

Conference

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Eunseop Yoon, Hee Suk Yoon, Mark Hasegawa-Johnson, Chang Yoo

Conference

Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization Zeou Hu, Yaoliang Yu

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Ultra-Sparse Memory Network Zihao Huang, Qiyang Min, Hongzhi Huang, Yutao Zeng, Defa Zhu, Ran Guo, zhou Xun

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Intelligence at the Edge of Chaos Shiyang Zhang, Aakash Patel, Syed Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk

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PaLD: Detection of Text Partially Written by Large Language Models Eric Lei, Hsiang Hsu, Chun-Fu Chen

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Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara

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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

Conference

MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, TianQi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng

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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

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Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-yao Zhang

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MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, shu wu, Liang Wang

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Selective induction Heads: How Transformers Select Causal Structures in Context Francesco D'Angelo, francesco croce, Nicolas Flammarion

Conference

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

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LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

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CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations Noga Mudrik, Ryan Ly, Oliver Ruebel, Adam Charles

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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

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Towards Understanding the Universality of Transformers for Next-Token Prediction Michael Sander, Gabriel Peyré

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Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu, Louis McConnell, Claudia Iriondo

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Separation Power of Equivariant Neural Networks Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin

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ACES: Automatic Cohort Extraction System for Event-Stream Datasets Justin Xu, Jack Gallifant, ALISTAIR JOHNSON, Matthew McDermott

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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

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$\text{D}_{2}\text{O}$: 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

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Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics Sebastian Sanokowski, Wilhelm Berghammer, Haoyu Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner

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Group Ligands Docking to Protein Pockets Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma

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Locally Connected Echo State Networks for Time Series Forecasting Filip Matzner, František Mráz

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ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation Ze Yang, Shichao Dong, Ruibo Li, Nan Song, Guosheng Lin

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Learning Evolving Tools for Large Language Models Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang

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Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks Sabrina Herbst, Sandeep Cranganore, Vincenzo De Maio, Ivona Brandić

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Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers Omer Sahin Tas, Royden Wagner

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Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective Andrew Jesson, Nicolas Beltran-Velez, David Blei

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Test-time Alignment of Diffusion Models without Reward Over-optimization Sunwoo Kim, Minkyu Kim, Dongmin Park

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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

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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

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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

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Controllable Generation via Locally Constrained Resampling Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck

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Trajectory-Class-Aware Multi-Agent Reinforcement Learning Hyungho Na, Kwanghyeon Lee, Sumin Lee, Il-chul Moon

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Compositional Entailment Learning for Hyperbolic Vision-Language Models Avik Pal, Max van Spengler, Guido D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes

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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

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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

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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

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Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu

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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

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Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought Jianhao Huang, Zixuan Wang, Jason Lee

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Edge Prompt Tuning for Graph Neural Networks Xingbo Fu, Yinhan He, Jundong Li

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Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable Chenxiao Yang, Zhiyuan Li, David Wipf

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An Evolved Universal Transformer Memory Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang

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See What You Are Told: Visual Attention Sink in Large Multimodal Models Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang

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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

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Language Guided Skill Discovery Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha

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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

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Action abstractions for amortized sampling Oussama Boussif, Léna Ezzine, Joseph Viviano, Michał Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio

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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

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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

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Context Steering: Controllable Personalization at Inference Time Zhiyang He, Sashrika Pandey, Mariah Schrum, Anca Dragan

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The KoLMogorov Test: Compression by Code Generation Ori Yoran, Kunhao Zheng, Fabian Gloeckle, Jonas Gehring, Gabriel Synnaeve, Taco Cohen

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PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim, Yuji Roh, Geon Heo, Steven Whang

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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

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Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence Yipei Wang, Xiaoqian Wang

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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

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NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models Zhengyi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao

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Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing Peter Lippmann, Gerrit Gerhartz, Roman Remme, Fred A Hamprecht

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Fair Clustering in the Sliding Window Model Vincent Cohen-Addad, Shaofeng Jiang, Qiaoyuan Yang, Yubo Zhang, Samson Zhou

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Can Knowledge Editing Really Correct Hallucinations? Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu

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Understanding and Enhancing the Transferability of Jailbreaking Attacks Runqi Lin, Bo Han, Fengwang Li, Tongliang Liu

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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

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The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities Yongwei Che, Benjamin Eysenbach

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FLOPS: Forward Learning with OPtimal Sampling Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng

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Conservative Contextual Bandits: Beyond Linear Representations Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee

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Provable weak-to-strong generalization via benign overfitting David Wu, Anant Sahai

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Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni

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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

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Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking Cassidy Laidlaw, Shivam Singhal, Anca Dragan

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Enhancing Pre-trained Representation Classifiability can Boost its Interpretability Shufan Shen, Zhaobo Qi, Junshu Sun, Qingming Huang, Qi Tian, Shuhui Wang

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Attention layers provably solve single-location regression Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer

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STAR: Synthesis of Tailored Architectures Armin Thomas, Rom Parnichkun, Alexander Amini, Stefano Massaroli, Michael Poli

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Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo

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Is Your Video Language Model a Reliable Judge? Ming Liu, Wensheng Zhang

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Towards Foundation Models for Mixed Integer Linear Programming Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li

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Designing Mechanical Meta-Materials by Learning Equivariant Flows Mehran Mirramezani, Anne Meeussen, Katia Bertoldi, Peter Orbanz, Ryan P Adams

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Tracking objects that change in appearance with phase synchrony Sabine Muzellec, Drew Linsley, Alekh Ashok, Ennio Mingolla, Girik Malik, Rufin VanRullen, Thomas Serre

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Improved Convergence Rate for Diffusion Probabilistic Models Gen Li, Yuchen Jiao

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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

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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

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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

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Discrete Copula Diffusion Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck

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Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning Yuankai Luo, Hongkang Li, Qijiong Liu, Lei Shi, Xiao-Ming Wu

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CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction Hyukjun Lim, Sun Kim, Sangseon Lee

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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

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Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra Roman Worschech, Bernd Rosenow

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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

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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

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MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures Anvith Thudi, Chris Maddison

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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

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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

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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

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Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes Jianqi Chen, Panwen Hu, Xiaojun Chang, Zhenwei Shi, Michael Kampffmeyer, Xiaodan Liang

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Concept Bottleneck Large Language Models Chung-En Sun, Tuomas Oikarinen, Berk Ustun, Tsui-Wei Weng

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HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing Huaijin Wu, Lianqiang Li, Hantao Huang, Yi Tu, Jihang Zhang, Minghui Yu, Junchi Yan

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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

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BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan

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Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu, Shiqiang Wang, Hans Arno Jacobsen, Yingbin Liang

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TRACE: Temporal Grounding Video LLM via Causal Event Modeling Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang

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Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe

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CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha

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Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee, Jinyoung Park, Jaewon Chu, Minseo Yoon, Hyunwoo Kim

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Action Sequence Augmentation for Action Anticipation Yihui Qiu, Deepu Rajan

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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

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Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu, Johan S Obando Ceron, Aaron Courville, Ling Pan

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Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen, Markus Heinonen, Arno Solin

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NetMoE: Accelerating MoE Training through Dynamic Sample Placement Xinyi Liu, Yujie Wang, Fangcheng Fu, Xupeng Miao, Shenhan Zhu, Xiaonan Nie, Bin CUI

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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

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LR0.FM: LOW-RESOLUTION ZERO-SHOT CLASSIFICATION BENCHMARK FOR FOUNDATION MODELS Priyank Pathak, Shyam Marjit, Shruti Vyas, Yogesh S Rawat

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Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation Huan Ren, Wenfei Yang, Xiang Liu, Shifeng Zhang, Tianzhu Zhang

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TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, Rene Vidal

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RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim, Bryan Plummer

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Predicate Hierarchies Improve Few-Shot State Classification Emily Jin, Joy Hsu, Jiajun Wu

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The Value of Sensory Information to a Robot Arjun Krishna, Edward Hu, Dinesh Jayaraman

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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

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Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel

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Deep Kernel Relative Test for Machine-generated Text Detection Yiliao Song, Zhenqiao Yuan, Shuhai Zhang, Zhen Fang, Jun Yu, Feng Liu

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Gumbel Counterfactual Generation From Language Models Shauli Ravfogel, Anej Svete, Vésteinn Snæbjarnarson, Ryan Cotterell

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ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu

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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

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MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences Genta Winata, David Anugraha, Lucky Susanto, Garry Kuwanto, Derry Wijaya

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Wasserstein Distances, Neuronal Entanglement, and Sparsity Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir Shavit

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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

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Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen

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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

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Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Michael Crawshaw, Blake Woodworth, Mingrui Liu

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SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang

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Image and Video Tokenization with Binary Spherical Quantization Yue Zhao, Yuanjun Xiong, Philipp Krähenbühl

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Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Xiaoyu Yang, Jie Lu, En Yu

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ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS Sujoy Bhore, Devdan Dey, Satyam Singh

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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

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What's New in My Data? Novelty Exploration via Contrastive Generation Masaru Isonuma, Ivan Titov

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Programming Refusal with Conditional Activation Steering Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre Dognin, Manish Nagireddy, Amit Dhurandhar

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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

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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

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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

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KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks Dominik Scheuer, Frederic Runge, Jörg Franke, Michael Wolfinger, Christoph Flamm, Frank Hutter

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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

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Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing, Vernon Luk, Jean Oh

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$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo

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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

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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

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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

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Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures Junxuan Wang, Xuyang Ge, Wentao Shu, Qiong Tang, Yunhua Zhou, Zhengfu He, Xipeng Qiu

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HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts Mengqi Liao, Wei Chen, Junfeng Shen, Shengnan Guo, Huaiyu Wan

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Training Language Models on Synthetic Edit Sequences Improves Code Synthesis Ulyana Piterbarg, Lerrel Pinto, Rob Fergus

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Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds Zhiyong Wang, Dongruo Zhou, John C.S. Lui, Wen Sun

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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

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Active Learning for Continual Learning: Keeping the Past Alive in the Present Jaehyun Park, Dongmin Park, Jae-Gil Lee

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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

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MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations Yan Xie, Minrui Lv, Chen-Song Zhang

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Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz

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Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs Levi Rauchwerger, Stefanie Jegelka, Ron Levie

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Self-Play Preference Optimization for Language Model Alignment Yue Wu, Zhiqing Sun, Rina Hughes, Kaixuan Ji, Yiming Yang, Quanquan Gu

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Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation Md Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong, Eui-Nam Huh

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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

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Language Representations Can be What Recommenders Need: Findings and Potentials Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua

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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

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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

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Mitigating Memorization in Language Models Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian Foster, Michael W Mahoney

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Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies Lingwei Zhu, Han Wang, Yukie Nagai

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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

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GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation Hongyin Zhang, Pengxiang Ding, Shangke Lyu, Ying Peng, Donglin Wang

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Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model Chaochen Gao, Xing W, Qi Fu, Songlin Hu

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CONTRA: Conformal Prediction Region via Normalizing Flow Transformation Zhenhan FANG, Aixin Tan, Jian Huang

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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

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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

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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

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Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching Zetian Jiang, Jiaxin Lu, Haizhao Fan, Tianzhe Wang, Junchi Yan

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Robust Transfer of Safety-Constrained Reinforcement Learning Agents Markel Zubia, Thiago Simão, Nils Jansen

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Counterfactual Realizability Arvind Raghavan, Elias Bareinboim

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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

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SpinQuant: LLM Quantization with Learned Rotations Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort

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Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation Yang Tian, Sizhe Yang, Jia Zeng, Ping Wang, Dahua Lin, Hao Dong, Jiangmiao Pang

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Finding Shared Decodable Concepts and their Negations in the Brain Cory Efird, Alex Murphy, Joel Zylberberg, Alona Fyshe

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Making Transformer Decoders Better Differentiable Indexers Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Yun Yu, Yang Song, Han Li, Kun Gai

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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

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Certified Robustness Under Bounded Levenshtein Distance Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher

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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

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Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning Yunyue Wei, Shanning Zhuang, Vincent Zhuang, Yanan Sui

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Grounding Video Models to Actions through Goal Conditioned Exploration Yunhao Luo, Yilun Du

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TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Makoto Shing, Kou Misaki, Han Bao, Sho Yokoi, Takuya Akiba

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Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning Patrick Yin, Tyler Westenbroek, Ching-An Cheng, Andrey Kolobov, Abhishek Gupta

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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

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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

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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

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SFESS: Score Function Estimators for $k$-Subset Sampling Klas Wijk, Ricardo Vinuesa, Hossein Azizpour

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Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention Weitai Kang, Mengxue Qu, Jyoti Kini, Yunchao Wei, Mubarak Shah, Yan Yan

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Round and Round We Go! What makes Rotary Positional Encodings useful? Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Veličković

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Discriminator-Guided Embodied Planning for LLM Agent Haofu Qian, Chenjia Bai, Jiatao Zhang, Fei Wu, Wei Song, Xuelong Li

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From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč, Eric Moulines, Maxim Panov

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Tuning Frequency Bias of State Space Models Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W Mahoney, N. Benjamin Erichson

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Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping Zijian Liu, Zhengyuan Zhou

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Privacy Auditing of Large Language Models Ashwinee Panda, Xinyu Tang, Christopher Choquette-Choo, Milad Nasr, Prateek Mittal

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Personalized Representation from Personalized Generation Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola

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GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs Dongzhuoran Zhou, Evgeny Kharlamov, Egor Kostylev

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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

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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

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Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision Orr Zohar, Xiaohan Wang, Yonatan Bitton, Idan Szpektor, Serena Yeung

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GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling Honghui Wang, Shiji Song, Gao Huang

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Graph Sparsification via Mixture of Graphs Guibin Zhang, Xiangguo SUN, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan

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InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping Yunchao Zhang, Guandao Yang, Leonidas Guibas, Yanchao Yang

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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

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Discrete Latent Plans via Semantic Skill Abstractions Haobin Jiang, Wang, Zongqing Lu

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Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency Jiangrong Shen, Qi Xu, Gang Pan, Badong Chen

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Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information Kyungsu Lee, Haeyun Lee, Jae Youn Hwang

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NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields Amandine Brunetto, Sascha Hornauer, Fabien Moutarde

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Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control Gezheng Xu, Hui GUO, Li Yi, Charles Ling, Boyu Wang, Grace Yi

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Ensembles of Low-Rank Expert Adapters Yinghao Li, Vianne Gao, Chao Zhang, MohamadAli Torkamani

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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

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Problem-Parameter-Free Federated Learning Wenjing Yan, Kai Zhang, Xiaolu Wang, Xuanyu Cao

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X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing Xinyan Chen, Jianfei Yang

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Neural Causal Graph for Interpretable and Intervenable Classification Jiawei Wang, Shaofei Lu, Da Cao, Dongyu Wang, Yuquan Le, Zhe Quan, Tat-Seng Chua

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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

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Gaussian Splatting Lucas-Kanade Liuyue Xie, Joel Julin, Koichiro Niinuma, Laszlo A. Jeni

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No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models Changlong Wu, Ananth Grama, Wojciech Szpankowski

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Moral Alignment for LLM Agents Elizaveta Tennant, Stephen Hailes, Mirco Musolesi

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SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects Jiayi Liu, Denys Iliash, Angel Chang, Manolis Savva, Ali Mahdavi Amiri

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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

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Robust System Identification: Finite-sample Guarantees and Connection to Regularization Hank Park, Grani A. Hanasusanto, Yingying Li

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Task Descriptors Help Transformers Learn Linear Models In-Context Ruomin Huang, Rong Ge

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Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa, Issei Sato

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Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel Shivam Gupta, Linda Cai, Sitan Chen

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Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process Tian Ye, Zicheng Xu, Yuanzhi Li, Zeyuan Allen-Zhu

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Mixture of Attentions For Speculative Decoding Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou Ammar, Jun Wang

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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

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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

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Neural Context Flows for Meta-Learning of Dynamical Systems Roussel Desmond Nzoyem, David Barton, Tom Deakin

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Node-Time Conditional Prompt Learning in Dynamic Graphs Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang

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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

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A Unified Theory of Quantum Neural Network Loss Landscapes Eric Anschuetz

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Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb, Tobias Weber, Bernd Bischl, David Rügamer

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PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang

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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

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MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

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Safety Layers in Aligned Large Language Models: The Key to LLM Security Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li

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On the self-verification limitations of large language models on reasoning and planning tasks Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati

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Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN Pengxiang Li, Lu Yin, Shiwei Liu

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Neural Wave Equation for Irregularly Sampled Sequence Data Arkaprava Majumdar, M Anand Krishna, P. K. Srijith

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Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Timofei Gritsaev, Nikita Morozov, Sergey Samsonov, Daniil Tiapkin

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Training-Free Activation Sparsity in Large Language Models James Liu, Pragaash Ponnusamy, Tianle Cai, placeholder, Yoon Kim, Ben Athiwaratkun

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Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning Amin Karimi Monsefi, Mengxi Zhou, Nastaran Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath

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Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior Yuliang Xu, Jian Kang

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TopoGaussian: Inferring Internal Topology Structures from Visual Clues Xiaoyu Xiong, Changyu Hu, Chunru Lin, Pingchuan Ma, Chuang Gan, Tao Du

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On Quantizing Neural Representation for Variable-Rate Video Coding Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, Zhan Ma

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GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction Si Chen, Richong Zhang, Xu Zhang

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Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi, Zhewei Wei

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Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization Jingrong Wei, Long Chen

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Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhägner, Cheng Shi, Ivan Dokmanić

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Language Models are Advanced Anonymizers Robin Staab, Mark Vero, Mislav Balunovic, Martin Vechev

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Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng YAN

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Scaling FP8 training to trillion-token LLMs Maxim Fishman, Brian Chmiel, Ron Banner, Daniel Soudry

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Structure Language Models for Protein Conformation Generation Jiarui Lu, Xiaoyin Chen, Stephen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang

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Conformalized Survival Analysis for General Right-Censored Data Hen Davidov, Shai Feldman, Gil Shamai, Ron Kimmel, Yaniv Romano

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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Chenxu Wu, Qingpeng Kong, Zihang Jiang, S Kevin Zhou

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Not-So-Optimal Transport Flows for 3D Point Cloud Generation Ka-Hei Hui, Chao Liu, xiaohui zeng, Chi-Wing Fu, Arash Vahdat

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Near-Exact Privacy Amplification for Matrix Mechanisms Christopher Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Guha Thakurta

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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

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Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions Jinyoung Choi, Junoh Kang, Bohyung Han

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Improving Neural Network Accuracy by Concurrently Training with a Twin Network Benjamin Vandersmissen, Lucas Deckers, Jose Oramas

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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

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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

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Segment Any 3D Object with Language Seungjun Lee, Yuyang Zhao, Gim H Lee

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ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration Youngseok Kim, Sunwook Hwang, Hyung-Sin Kim, Saewoong Bahk

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Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu

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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

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Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye

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Neural Fluid Simulation on Geometric Surfaces Haoxiang Wang, Tao Yu, Hui Qiao, Qionghai Dai

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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

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Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning Shumao Zhai, Ning Ge

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GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation Tao Feng, Yihang Sun, Jiaxuan You

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Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning Berken Utku Demirel, Christian Holz

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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

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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

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Protecting against simultaneous data poisoning attacks Neel Alex, Muhammad Shoaib Ahmed Siddiqui, Amartya Sanyal, David Krueger

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Unlocking the Potential of Model Calibration in Federated Learning Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton

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Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm Du Chen, Geoffrey A. Chua

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Optimizing Neural Network Representations of Boolean Networks Joshua Russell, Ignacio Gavier, Devdhar Patel, Edward Rietman, Hava Siegelmann

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U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models Tung-Yu Wu, Melody Lo

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CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features Po-han Li, Sandeep Chinchali, ufuk topcu

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Federated Few-Shot Class-Incremental Learning Muhammad Anwar Masum, Mahardhika Pratama, Lin Liu, H Habibullah, Ryszard Kowalczyk

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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

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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

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Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen, Chengchang Liu, Jingzhao Zhang

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Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang

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Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs Xin Gao, Jian Pu

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Diffusion-based Neural Network Weights Generation Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter, Sung Ju Hwang

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Steering Large Language Models between Code Execution and Textual Reasoning Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang

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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

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Contextual Document Embeddings John X. Morris, Alexander Rush

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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

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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

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PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low

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Learning-Augmented Search Data Structures Chunkai Fu, Brandon G. Nguyen, Jung Seo, Ryan Zesch, Samson Zhou

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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

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Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling Louis Bradshaw, Simon Colton

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Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference Qining Zhang, Lei Ying

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OPTAMI: Global Superlinear Convergence of High-order Methods Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander Gasnikov, Martin Takáč

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How to Find the Exact Pareto Front for Multi-Objective MDPs? Yining Li, Peizhong Ju, Ness Shroff

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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

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AdaFisher: Adaptive Second Order Optimization via Fisher Information Damien GOMES, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini

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VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning Yongshuo Zong, Ondrej Bohdal, Timothy Hospedales

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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

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Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Jihyo Kim, Seulbi Lee, Sangheum Hwang

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Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence Dharmesh Tailor, Alvaro Correia, Eric Nalisnick, Christos Louizos

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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

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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

Conference

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

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Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg

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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

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Taming Transformer Without Using Learning Rate Warmup Xianbiao Qi, Yelin He, Jiaquan Ye, Chun-Guang Li, Bojia Zi, Xili Dai, Qin Zou, Rong Xiao

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Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

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SafeDiffuser: Safe Planning with Diffusion Probabilistic Models Wei Xiao, Johnson (Tsun-Hsuan) Wang, Chuang Gan, Ramin Hasani, Mathias Lechner, Daniela Rus

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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

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CameraCtrl: Enabling Camera Control for Video Diffusion Models Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo DAI, Hongsheng Li, Ceyuan Yang

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MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan

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DELIFT: Data Efficient Language model Instruction Fine-Tuning Ishika Agarwal, Krishnateja Killamsetty, Lucian Popa, Marina Danilevsky

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Gradient-Free Generation for Hard-Constrained Systems Chaoran Cheng, Boran Han, Danielle Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W Mahoney, Bernie Wang

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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

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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

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RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee

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Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max M Marion, Matthew Leavitt, Mansheej Paul

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Hybrid Regularization Improves Diffusion-based Inverse Problem Solving Hongkun Dou, Zeyu Li, Jinyang Du, Lijun Yang, Wen Yao, Yue Deng

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TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation Gihyun Kwon, Jong Chul YE

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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

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A transfer learning framework for weak to strong generalization Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun

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Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions? BOSHEN XU, Ziheng Wang, Yang Du, Zhinan Song, Sipeng Zheng, Qin Jin

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A General Framework for Producing Interpretable Semantic Text Embeddings Yiqun Sun, Qiang Huang, Yixuan Tang, Anthony Tung, Jun Yu

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IgGM: A Generative Model for Functional Antibody and Nanobody Design Rubo Wang, Fandi Wu, Xingyu Gao, Jiaxiang Wu, Peilin Zhao, Jianhua Yao

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Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model Zhiwei Xu, Zhiyu Ni, Yixin Wang, Wei Hu

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From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency Kaiyue Wen, Huaqing Zhang, Hongzhou Lin, Jingzhao Zhang

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Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation Slava Elizarov, Ciara Rowles, Simon Donné

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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

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Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Heyang Zhao, Xingrui Yu, David Bossens, Ivor Tsang, Quanquan Gu

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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

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FairDen: Fair Density-Based Clustering Lena Krieger, Anna Beer, Pernille Matthews, Anneka Thiesson, Ira Assent

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Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient George Wang, Jesse Hoogland, Stan van Wingerden, Zach Furman, Daniel Murfet

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PEARL: Towards Permutation-Resilient LLMs Liang CHEN, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong

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Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal

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DeciMamba: Exploring the Length Extrapolation Potential of Mamba Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes

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Teaching LLMs How to Learn with Contextual Fine-Tuning Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul G. Krishnan

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Gyrogroup Batch Normalization Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe

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Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddhartha Sen, Mohammad Alizadeh

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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

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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

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Quamba: A Post-Training Quantization Recipe for Selective State Space Models Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu

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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

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Efficient Sparse PCA via Block-Diagonalization Alberto Del Pia, Dekun Zhou, Yinglun Zhu

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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

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Does Spatial Cognition Emerge in Frontier Models? Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Krähenbühl, Vladlen Koltun

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CtD: Composition through Decomposition in Emergent Communication Boaz Carmeli, Ron Meir, Yonatan Belinkov

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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

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Near, far: Patch-ordering enhances vision foundation models' scene understanding Valentinos Pariza, Mohammadreza Salehi, Gertjan J Burghouts, Francesco Locatello, Yuki Asano

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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

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Scaling Long Context Training Data by Long-Distance Referrals Yonghao Zhuang, Lanxiang Hu, Longfei Yun, Souvik Kundu, Zhengzhong Liu, Eric P Xing, Hao Zhang

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EcoFace: Audio-Visual Emotional Co-Disentanglement Speech-Driven 3D Talking Face Generation Jiajian Xie, Shengyu Zhang, Mengze Li, chengfei lv, Zhou Zhao, Fei Wu

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Implicit In-context Learning Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris Metaxas

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Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani, Ali Bashashati

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MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation Zhongshen Zeng, Pengguang Chen, Shu Liu, Haiyun Jiang, Jiaya Jia

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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

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On Large Language Model Continual Unlearning Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu

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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

Conference

Efficient Dictionary Learning with Switch Sparse Autoencoders Anish Mudide, Josh Engels, Eric Michaud, Max Tegmark, Christian Schroeder de Witt

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CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li

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Revisiting Mode Connectivity in Neural Networks with Bezier Surface Jie Ren, Pin-Yu Chen, Ren Wang

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Multi-Field Adaptive Retrieval Millicent Li, Tongfei Chen, Ben Van Durme, Patrick Xia

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SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG Shanglin Li, Motoaki Kawanabe, Reinmar Kobler

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Long Context Compression with Activation Beacon Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou

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REvolve: Reward Evolution with Large Language Models using Human Feedback RISHI HAZRA, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires

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Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception Ziqi Pang, Xin Xu, Yu-Xiong Wang

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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

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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

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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

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FormalAlign: Automated Alignment Evaluation for Autoformalization Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying Liu, Zhijiang Guo

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High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity Qian Yu, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Lihe Zhang, Huchuan Lu

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Online Preference Alignment for Language Models via Count-based Exploration Chenjia Bai, Yang Zhang, Shuang Qiu, Qiaosheng Zhang, Kang Xu, Xuelong Li

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Transformer Learns Optimal Variable Selection in Group-Sparse Classification Chenyang Zhang, Xuran Meng, Yuan Cao

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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

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Score-based Self-supervised MRI Denoising Jiachen Tu, Yaokun Shi, Fan Lam

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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

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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

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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

Conference

SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan

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Quality Measures for Dynamic Graph Generative Models Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann

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Incremental Causal Effect for Time to Treatment Initialization Andrew Ying, Zhichen Zhao, Ronghui Xu

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A Differentiable Rank-Based Objective for Better Feature Learning Krunoslav Lehman Pavasovic, Giulio Biroli, Levent Sagun

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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

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TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning Tsiry MAYET, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain HÉRAULT, Clement Chatelain

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HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Muxi Chen, Chenchen Zhao, Qiang Xu

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AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum

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Last Iterate Convergence of Incremental Methods as a Model of Forgetting Xufeng Cai, Jelena Diakonikolas

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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

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Adaptive backtracking for faster optimization Joao V. Cavalcanti, Laurent Lessard, Ashia Wilson

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TODO: Enhancing LLM Alignment with Ternary Preferences Yuxiang Guo, Lu Yin, Bo Jiang, Jiaqi Zhang

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LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning Zhuorui Ye, Stephanie Milani, Geoff Gordon, Fei Fang

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Learning How Hard to Think: Input-Adaptive Allocation of LM Computation Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas

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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

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Interpreting the Second-Order Effects of Neurons in CLIP Yossi Gandelsman, Alexei Efros, Jacob Steinhardt

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OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones? Zijian Chen, tingzhu chen, Wenjun Zhang, Guangtao Zhai

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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

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Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak

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Trajectory attention for fine-grained video motion control Zeqi Xiao, Wenqi Ouyang, Yifan Zhou, Shuai Yang, Lei Yang, Jianlou Si, Xingang Pan

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ThinkBot: Embodied Instruction Following with Thought Chain Reasoning Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang

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Towards Calibrated Deep Clustering Network Yuheng Jia, Jianhong Cheng, Hui LIU, Junhui Hou

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A Simple Framework for Open-Vocabulary Zero-Shot Segmentation Thomas Stegmüller, Tim Lebailly, Nikola Đukić, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran

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