Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal

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]

@inproceedings{GuptaDKVPKGCSG22,
  title = {Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal},
  author = {Umang Gupta and Jwala Dhamala and Varun Kumar and Apurv Verma and Yada Pruksachatkun and Satyapriya Krishna and Rahul Gupta and Kai-Wei Chang and Greg Ver Steeg and Aram Galstyan},
  year = {2022},
  url = {https://aclanthology.org/2022.findings-acl.55},
  researchr = {https://researchr.org/publication/GuptaDKVPKGCSG22},
  cites = {0},
  citedby = {0},
  pages = {658-678},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022},
  editor = {Smaranda Muresan and Preslav Nakov and Aline Villavicencio},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-25-4},
}