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%0 Conference Proceedings
%T The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
%A Kaneko, Masahiro
%A Bollegala, Danushka
%A Okazaki, Naoaki
%Y Park, Jong C.
%Y Arase, Yuki
%Y Hu, Baotian
%Y Lu, Wei
%Y Wijaya, Derry
%Y Purwarianti, Ayu
%Y Krisnadhi, Adila Alfa
%S 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)
%D 2023
%8 November
%I Association for Computational Linguistics
%C Nusa Dua, Bali
%F kaneko-etal-2023-impact
%R 10.18653/v1/2023.ijcnlp-short.4
%U https://aclanthology.org/2023.ijcnlp-short.4
%U https://doi.org/10.18653/v1/2023.ijcnlp-short.4
%P 29-36

Markdown (Informal)

[The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated](https://aclanthology.org/2023.ijcnlp-short.4) (Kaneko et al., IJCNLP-AACL 2023)

• The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated (Kaneko et al., IJCNLP-AACL 2023)

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.