Unveiling Language-Driven Political Stances in Large Language Models on China and Cross-Strait Relations

Yu-Ting Lin; Yao-Chung Fan

Unveiling Language-Driven Political Stances in Large Language Models on China and Cross-Strait Relations

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Anthology ID:: 2024.rocling-1.18
Volume:: Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
Month:: November
Year:: 2024
Address:: Taipei City, Taiwan
Editors:: Shu-Chuan Tseng, Yu Tsao, Hen-Hsen Huang, Yao-Chung Fan, Chia-Hui Chang
Venue:: ROCLING
SIG:
Publisher:: The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:: 146–150
Language:
URL:: https://aclanthology.org/2024.rocling-1.18/
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Bibkey:
Cite (ACL):: Yu-Ting Lin and Yao-Chung Fan. 2024. Unveiling Language-Driven Political Stances in Large Language Models on China and Cross-Strait Relations. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 146–150, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):: Unveiling Language-Driven Political Stances in Large Language Models on China and Cross-Strait Relations (Lin & Fan, ROCLING 2024)
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PDF:: https://aclanthology.org/2024.rocling-1.18.pdf

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@inproceedings{lin-fan-2024-unveiling,
    title = "Unveiling Language-Driven Political Stances in Large Language Models on {C}hina and Cross-Strait Relations",
    author = "Lin, Yu-Ting  and
      Fan, Yao-Chung",
    editor = "Tseng, Shu-Chuan  and
      Tsao, Yu  and
      Huang, Hen-Hsen  and
      Fan, Yao-Chung  and
      Chang, Chia-Hui",
    booktitle = "Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)",
    month = nov,
    year = "2024",
    address = "Taipei City, Taiwan",
    publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
    url = "https://aclanthology.org/2024.rocling-1.18/",
    pages = "146--150"
}

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%0 Conference Proceedings
%T Unveiling Language-Driven Political Stances in Large Language Models on China and Cross-Strait Relations
%A Lin, Yu-Ting
%A Fan, Yao-Chung
%Y Tseng, Shu-Chuan
%Y Tsao, Yu
%Y Huang, Hen-Hsen
%Y Fan, Yao-Chung
%Y Chang, Chia-Hui
%S Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
%D 2024
%8 November
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei City, Taiwan
%F lin-fan-2024-unveiling
%U https://aclanthology.org/2024.rocling-1.18/
%P 146-150

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Markdown (Informal)

[Unveiling Language-Driven Political Stances in Large Language Models on China and Cross-Strait Relations](https://aclanthology.org/2024.rocling-1.18/) (Lin & Fan, ROCLING 2024)

Unveiling Language-Driven Political Stances in Large Language Models on China and Cross-Strait Relations (Lin & Fan, ROCLING 2024)

ACL

Yu-Ting Lin and Yao-Chung Fan. 2024. Unveiling Language-Driven Political Stances in Large Language Models on China and Cross-Strait Relations. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 146–150, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).