An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models

Zhongbin Xie, Thomas Lukasiewicz. An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 15730-15745, Association for Computational Linguistics, 2023. [doi]

@inproceedings{XieL23-4,
  title = {An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models},
  author = {Zhongbin Xie and Thomas Lukasiewicz},
  year = {2023},
  url = {https://aclanthology.org/2023.acl-long.876},
  researchr = {https://researchr.org/publication/XieL23-4},
  cites = {0},
  citedby = {0},
  pages = {15730-15745},
  booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-72-2},
}