@inproceedings{nguyen-etal-2022-make,
    title = "Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback",
    author = "Nguyen, Duy-Hung  and
      Nghiem, Nguyen Viet Dung  and
      Nguyen, Bao-Sinh  and
      Tien Le, Dung Tien  and
      Sabahi, Shahab  and
      Nguyen, Minh-Tien  and
      Le, Hung",
    editor = "Carpuat, Marine  and
      de Marneffe, Marie-Catherine  and
      Meza Ruiz, Ivan Vladimir",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022",
    month = jul,
    year = "2022",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.findings-naacl.147/",
    doi = "10.18653/v1/2022.findings-naacl.147",
    pages = "1919--1930"
}