Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren 0001. On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. In Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty 0002, Yichao Zhou, editors, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. pages 3770-3783, Association for Computational Linguistics, 2021. [doi]
@inproceedings{JinBKDNR21,
title = {On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning},
author = {Xisen Jin and Francesco Barbieri and Brendan Kennedy and Aida Mostafazadeh Davani and Leonardo Neves and Xiang Ren 0001},
year = {2021},
url = {https://www.aclweb.org/anthology/2021.naacl-main.296/},
researchr = {https://researchr.org/publication/JinBKDNR21},
cites = {0},
citedby = {0},
pages = {3770-3783},
booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021},
editor = {Kristina Toutanova and Anna Rumshisky and Luke Zettlemoyer and Dilek Hakkani-Tür and Iz Beltagy and Steven Bethard and Ryan Cotterell and Tanmoy Chakraborty 0002 and Yichao Zhou},
publisher = {Association for Computational Linguistics},
isbn = {978-1-954085-46-6},
}