Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. Gupta, U., Dhamala, J., Kumar, V., Verma, A., Pruksachatkun, Y., Krishna, S., Gupta, R., Chang, K., Ver Steeg, G., & Galstyan, A. In Findings of the Association for Computational Linguistics: ACL 2022, pages 658–678, 2022. bibtex @inproceedings{gupta2022mitigating,
author = {Gupta, Umang and Dhamala, Jwala and Kumar, Varun and Verma, Apurv and Pruksachatkun, Yada and Krishna, Satyapriya and Gupta, Rahul and Chang, Kai-Wei and Ver Steeg, Greg and Galstyan, Aram},
booktitle = {Findings of the Association for Computational Linguistics: ACL 2022},
date-added = {2023-01-17 12:51:27 -0800},
date-modified = {2023-01-17 12:51:27 -0800},
pages = {658--678},
title = {Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal},
year = {2022}}
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