Quantity Affects Quality: Instruction Fine-Tuning on LLM’s Multiple-choice Question Abilities

Hsuan-Lei Shao, Wei-Hsin Wang, Sieh-Chuen Huang


Anthology ID:
2024.rocling-1.2
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:
11–18
Language:
URL:
https://aclanthology.org/2024.rocling-1.2/
DOI:
Bibkey:
Cite (ACL):
Hsuan-Lei Shao, Wei-Hsin Wang, and Sieh-Chuen Huang. 2024. Quantity Affects Quality: Instruction Fine-Tuning on LLM’s Multiple-choice Question Abilities. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 11–18, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
Quantity Affects Quality: Instruction Fine-Tuning on LLM’s Multiple-choice Question Abilities (Shao et al., ROCLING 2024)
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PDF:
https://aclanthology.org/2024.rocling-1.2.pdf