Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks

Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae. Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks. In Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen, editors, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. pages 18620-18642, Association for Computational Linguistics, 2024. [doi]

@inproceedings{LeeHYCLB24,
  title = {Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks},
  author = {Changho Lee and Janghoon Han and Seonghyeon Ye and Stanley Jungkyu Choi and Honglak Lee and Kyunghoon Bae},
  year = {2024},
  url = {https://aclanthology.org/2024.emnlp-main.1036},
  researchr = {https://researchr.org/publication/LeeHYCLB24},
  cites = {0},
  citedby = {0},
  pages = {18620-18642},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024},
  editor = {Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-164-3},
}