Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training

Haode Zhang, Haowen Liang, Li-Ming Zhan, Xiao-Ming Wu 0003, Albert Y. S. Lam. Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 11105-11121, Association for Computational Linguistics, 2023. [doi]

@inproceedings{ZhangLZ0L23,
  title = {Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training},
  author = {Haode Zhang and Haowen Liang and Li-Ming Zhan and Xiao-Ming Wu 0003 and Albert Y. S. Lam},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.706},
  researchr = {https://researchr.org/publication/ZhangLZ0L23},
  cites = {0},
  citedby = {0},
  pages = {11105-11121},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}