The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated

Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki


Anthology ID:
2023.ijcnlp-short.4
Volume:
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
November
Year:
2023
Address:
Nusa Dua, Bali
Editors:
Jong C. Park, Yuki Arase, Baotian Hu, Wei Lu, Derry Wijaya, Ayu Purwarianti, Adila Alfa Krisnadhi
Venues:
IJCNLP | AACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
29–36
Language:
URL:
https://preview.aclanthology.org/build-pipeline-with-new-library/2023.ijcnlp-short.4/
DOI:
10.18653/v1/2023.ijcnlp-short.4
Bibkey:
Cite (ACL):
Masahiro Kaneko, Danushka Bollegala, and Naoaki Okazaki. 2023. The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 29–36, Nusa Dua, Bali. Association for Computational Linguistics.
Cite (Informal):
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated (Kaneko et al., IJCNLP-AACL 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/build-pipeline-with-new-library/2023.ijcnlp-short.4.pdf