An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models. Meade, N., Poole-Dayan, E., & Reddy, S. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1878–1898, Dublin, Ireland, May, 2022. Association for Computational Linguistics.
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models [link]Paper  doi  bibtex   
@inproceedings{meade_empirical_2022,
	address = {Dublin, Ireland},
	title = {An {Empirical} {Survey} of the {Effectiveness} of {Debiasing} {Techniques} for {Pre}-trained {Language} {Models}},
	url = {https://aclanthology.org/2022.acl-long.132},
	doi = {10.18653/v1/2022.acl-long.132},
	booktitle = {Proceedings of the 60th {Annual} {Meeting} of the {Association} for {Computational} {Linguistics} ({Volume} 1: {Long} {Papers})},
	publisher = {Association for Computational Linguistics},
	author = {Meade, Nicholas and Poole-Dayan, Elinor and Reddy, Siva},
	month = may,
	year = {2022},
	pages = {1878--1898},
}

Downloads: 0