How Good Is Synthetic Data for Social Media Texts? A Study on Fine-Tuning Low-Resource Language Models for Vietnamese

Luan Thanh Nguyen


Anthology ID:
2024.paclic-1.84
Volume:
Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2024
Address:
Tokyo, Japan
Editors:
Shirley Dita, Jong-Bok Kim, Ariane Borlongan, Nathaniel Oco
Venue:
PACLIC
SIG:
Publisher:
Tokyo University of Foreign Studies
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Pages:
871–884
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URL:
https://preview.aclanthology.org/landing_page/2024.paclic-1.84/
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Cite (ACL):
Luan Thanh Nguyen. 2024. How Good Is Synthetic Data for Social Media Texts? A Study on Fine-Tuning Low-Resource Language Models for Vietnamese. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 871–884, Tokyo, Japan. Tokyo University of Foreign Studies.
Cite (Informal):
How Good Is Synthetic Data for Social Media Texts? A Study on Fine-Tuning Low-Resource Language Models for Vietnamese (Nguyen, PACLIC 2024)
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https://preview.aclanthology.org/landing_page/2024.paclic-1.84.pdf