# GRADIEND

Three repositories are provided for reproduction of the results:
- gradiend: contains the code for training and evaluation of GRADIEND models
- bias-bench: contains the code for the comparison of GRADIEND with other debiasing techniques (fork of https://github.com/McGill-NLP/bias-bench)
- lm-evaluation-harness: contains the code for the GLUE zero-shot evaluation of Llama-based models, whose results are integrated with bias-bench (this repository is a fork of https://github.com/EleutherAI/lm-evaluation-harness)

Note: The required data files are contained in `gradiend`. For BIASNEUTRAL, only 10000 samples are provided due to limited upload size (However, only these 10000 samples are used for this study).

Note: The code files do not incorporate yet the additional experiments of the rebuttal (though these will also be part of the official code release).
