Nurkhan Laiyk, Daniil Orel, Rituraj Joshi, Maiya Goloburda, Yuxia Wang, Preslav Nakov, Fajri Koto. Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh. In Wanxiang Che, Joyce Nabende, Ekaterina Shutova, Mohammad Taher Pilehvar, editors, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025. pages 14509-14538, Association for Computational Linguistics, 2025. [doi]
@inproceedings{LaiykOJGWNK25,
title = {Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh},
author = {Nurkhan Laiyk and Daniil Orel and Rituraj Joshi and Maiya Goloburda and Yuxia Wang and Preslav Nakov and Fajri Koto},
year = {2025},
url = {https://aclanthology.org/2025.acl-long.706/},
researchr = {https://researchr.org/publication/LaiykOJGWNK25},
cites = {0},
citedby = {0},
pages = {14509-14538},
booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025},
editor = {Wanxiang Che and Joyce Nabende and Ekaterina Shutova and Mohammad Taher Pilehvar},
publisher = {Association for Computational Linguistics},
isbn = {979-8-89176-251-0},
}