UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization

Yulong Chen 0001, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu 0001, Michael Zeng 0001, Yue Zhang. UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. 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 12833-12855, Association for Computational Linguistics, 2023. [doi]

@inproceedings{0001LXY00Z23,
  title = {UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization},
  author = {Yulong Chen 0001 and Yang Liu and Ruochen Xu and Ziyi Yang and Chenguang Zhu 0001 and Michael Zeng 0001 and Yue Zhang},
  year = {2023},
  url = {https://aclanthology.org/2023.acl-long.718},
  researchr = {https://researchr.org/publication/0001LXY00Z23},
  cites = {0},
  citedby = {0},
  pages = {12833-12855},
  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},
}