Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal - researchr publication authors

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Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan. Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. In Smaranda Muresan, Preslav Nakov, Aline Villavicencio, editors, Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022. pages 658-678, Association for Computational Linguistics, 2022. [doi]

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