Mitigating Gender Bias in Large Language Models: An Evaluation Using Chain-of-Thought Prompting
Arati Mohapatra, Kavimalar Subbiah, Reshma Sheik, S Jaya Nirmala
- Anthology ID:
- 2024.paclic-1.83
- Volume:
- Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
- Month:
- December
- Year:
- 2024
- Address:
- Tokyo, Japan
- Editors:
- Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
- Venue:
- PACLIC
- SIG:
- Publisher:
- Tokyo University of Foreign Studies
- Note:
- Pages:
- 861–870
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.83/
- DOI:
- Cite (ACL):
- Arati Mohapatra, Kavimalar Subbiah, Reshma Sheik, and S Jaya Nirmala. 2024. Mitigating Gender Bias in Large Language Models: An Evaluation Using Chain-of-Thought Prompting. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 861–870, Tokyo, Japan. Tokyo University of Foreign Studies.
- Cite (Informal):
- Mitigating Gender Bias in Large Language Models: An Evaluation Using Chain-of-Thought Prompting (Mohapatra et al., PACLIC 2024)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.83.pdf