HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks

Zhengkun Zhang, Wenya Guo, Xiaojun Meng, Yasheng Wang, Yadao Wang, Xin Jiang 0002, Qun Liu 0001, Zhenglu Yang. HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks. 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 11442-11453, Association for Computational Linguistics, 2023. [doi]

@inproceedings{ZhangGMWW00Y23,
  title = {HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks},
  author = {Zhengkun Zhang and Wenya Guo and Xiaojun Meng and Yasheng Wang and Yadao Wang and Xin Jiang 0002 and Qun Liu 0001 and Zhenglu Yang},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.725},
  researchr = {https://researchr.org/publication/ZhangGMWW00Y23},
  cites = {0},
  citedby = {0},
  pages = {11442-11453},
  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},
}