JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLM

Takuro Fujii, Satoru Katsumata


Anthology ID:
2024.paclic-1.65
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
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Pages:
686–696
Language:
URL:
https://preview.aclanthology.org/Author-Pages-WenzhengZhang-ZhengyanShi-ShuYang/2024.paclic-1.65/
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Cite (ACL):
Takuro Fujii and Satoru Katsumata. 2024. JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLM. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 686–696, Tokyo, Japan. Tokyo University of Foreign Studies.
Cite (Informal):
JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLM (Fujii & Katsumata, PACLIC 2024)
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https://preview.aclanthology.org/Author-Pages-WenzhengZhang-ZhengyanShi-ShuYang/2024.paclic-1.65.pdf