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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