@inproceedings{hsieh-etal-2024-twbias,
title = "{TWB}ias: A Benchmark for Assessing Social Bias in Traditional {C}hinese Large Language Models through a {T}aiwan Cultural Lens",
author = "Hsieh, Hsin-Yi and
Huang, Shih-Cheng and
Tsai, Richard Tzong-Han",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.507/",
doi = "10.18653/v1/2024.findings-emnlp.507",
pages = "8688--8704"
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%0 Conference Proceedings
%T TWBias: A Benchmark for Assessing Social Bias in Traditional Chinese Large Language Models through a Taiwan Cultural Lens
%A Hsieh, Hsin-Yi
%A Huang, Shih-Cheng
%A Tsai, Richard Tzong-Han
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F hsieh-etal-2024-twbias
%R 10.18653/v1/2024.findings-emnlp.507
%U https://aclanthology.org/2024.findings-emnlp.507/
%U https://doi.org/10.18653/v1/2024.findings-emnlp.507
%P 8688-8704
Markdown (Informal)
[TWBias: A Benchmark for Assessing Social Bias in Traditional Chinese Large Language Models through a Taiwan Cultural Lens](https://aclanthology.org/2024.findings-emnlp.507/) (Hsieh et al., Findings 2024)
ACL