
DAFAIR proposes a novel approach to mitigate social bias in language models without relying on demographic information, achieving competitive performance while reducing bias.


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mitigating-social-bias-in-language-models-without-demographic-information


Mitigating Social Bias in Language Models without Demographic Information


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AXOLOTL introduces a novel post-processing framework for debiasing Large Language Model outputs, ensuring fairness and performance preservation.


axolotl-fairness-through-assisted-self-debiasing-of-large-language-model-outputs


AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
