@inproceedings{yeh-etal-2023-evaluating,
title = "Evaluating Interfaced {LLM} Bias",
author = "Yeh, Kai-Ching and
Chi, Jou-An and
Lian, Da-Chen and
Hsieh, Shu-Kai",
editor = "Wu, Jheng-Long and
Su, Ming-Hsiang",
booktitle = "Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)",
month = oct,
year = "2023",
address = "Taipei City, Taiwan",
publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
url = "https://preview.aclanthology.org/fix-sig-urls/2023.rocling-1.37/",
pages = "292--299"
}
Markdown (Informal)
[Evaluating Interfaced LLM Bias](https://preview.aclanthology.org/fix-sig-urls/2023.rocling-1.37/) (Yeh et al., ROCLING 2023)
ACL
- Kai-Ching Yeh, Jou-An Chi, Da-Chen Lian, and Shu-Kai Hsieh. 2023. Evaluating Interfaced LLM Bias. In Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023), pages 292–299, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).