Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency

Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon. Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency. 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 13884-13898, Association for Computational Linguistics, 2023. [doi]

@inproceedings{SongPHYJGY23,
  title = {Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency},
  author = {Jongyoon Song and Nohil Park and Bongkyu Hwang and Jaewoong Yun and Seongho Joe and Youngjune Gwon and Sungroh Yoon},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.872},
  researchr = {https://researchr.org/publication/SongPHYJGY23},
  cites = {0},
  citedby = {0},
  pages = {13884-13898},
  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},
}