TWBias: A Benchmark for Assessing Social Bias in Traditional Chinese Large Language Models through a Taiwan Cultural Lens

Hsin-Yi Hsieh, Shih-Cheng Huang, Richard Tzong-Han Tsai


Anthology ID:
2024.findings-emnlp.507
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2024
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
8688–8704
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2024.findings-emnlp.507/
DOI:
10.18653/v1/2024.findings-emnlp.507
Bibkey:
Cite (ACL):
Hsin-Yi Hsieh, Shih-Cheng Huang, and Richard Tzong-Han Tsai. 2024. TWBias: A Benchmark for Assessing Social Bias in Traditional Chinese Large Language Models through a Taiwan Cultural Lens. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 8688–8704, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
TWBias: A Benchmark for Assessing Social Bias in Traditional Chinese Large Language Models through a Taiwan Cultural Lens (Hsieh et al., Findings 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/fix-sig-urls/2024.findings-emnlp.507.pdf
Data:
 2024.findings-emnlp.507.data.zip