Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings

Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz 0001. Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. 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 14836-14851, Association for Computational Linguistics, 2023. [doi]

@inproceedings{RotemHM023,
  title = {Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings},
  author = {Daniel Rotem and Michael Hassid and Jonathan Mamou and Roy Schwartz 0001},
  year = {2023},
  url = {https://aclanthology.org/2023.acl-long.829},
  researchr = {https://researchr.org/publication/RotemHM023},
  cites = {0},
  citedby = {0},
  pages = {14836-14851},
  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},
}