FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning

Qinyuan Ye, Iz Beltagy, Matthew Peters, Xiang Ren, Hannaneh Hajishirzi. FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 8158-8185, Association for Computational Linguistics, 2023. [doi]

@inproceedings{YeBPRH23,
  title = {FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning},
  author = {Qinyuan Ye and Iz Beltagy and Matthew Peters and Xiang Ren and Hannaneh Hajishirzi},
  year = {2023},
  url = {https://aclanthology.org/2023.acl-long.454},
  researchr = {https://researchr.org/publication/YeBPRH23},
  cites = {0},
  citedby = {0},
  pages = {8158-8185},
  booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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 = {978-1-959429-72-2},
}