Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks

Chengguang Gan, Tatsunori Mori


Anthology ID:
2023.paclic-1.1
Volume:
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2023
Address:
Hong Kong, China
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Si Chen, Yu-Yin Hsu, Emmanuele Chersoni, Pranav A, Winnie Huiheng Zeng, Bo Peng, Yuxi Li, Junlin Li
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–11
Language:
URL:
https://aclanthology.org/2023.paclic-1.1
DOI:
Bibkey:
Cite (ACL):
Chengguang Gan and Tatsunori Mori. 2023. Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pages 1–11, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks (Gan & Mori, PACLIC 2023)
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PDF:
https://aclanthology.org/2023.paclic-1.1.pdf