- 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:
- Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
- Venue:
- PACLIC
- SIG:
- Publisher:
- Tokyo University of Foreign Studies
- Note:
- Pages:
- 871–884
- Language:
- URL:
- https://preview.aclanthology.org/info-author-pages/2024.paclic-1.84/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/info-author-pages/2024.paclic-1.84.pdf