@inproceedings{chern-etal-2023-improving,
    title = "Improving Factuality of Abstractive Summarization via Contrastive Reward Learning",
    author = "Chern, I-chun  and
      Wang, Zhiruo  and
      Das, Sanjan  and
      Sharma, Bhavuk  and
      Liu, Pengfei  and
      Neubig, Graham",
    editor = "Ovalle, Anaelia  and
      Chang, Kai-Wei  and
      Mehrabi, Ninareh  and
      Pruksachatkun, Yada  and
      Galystan, Aram  and
      Dhamala, Jwala  and
      Verma, Apurv  and
      Cao, Trista  and
      Kumar, Anoop  and
      Gupta, Rahul",
    booktitle = "Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.trustnlp-1.6/",
    doi = "10.18653/v1/2023.trustnlp-1.6",
    pages = "55--60"
}