@inproceedings{guan-etal-2026-medpriv,
    title = "{M}ed{P}riv-Bench: Benchmarking the Privacy-Utility Trade-off of Large Language Models in Medical Open-Ended Question Answering",
    author = "Guan, Shaowei  and
      Yu, Zhai  and
      Kwok, Hin-Chi  and
      Du, Jiawei  and
      Feng, Xinyu  and
      Li, Jing  and
      Qin, Jing  and
      Hui, Vivian",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-main.1157/",
    pages = "26512--26532",
    ISBN = "979-8-89176-459-0"
}