@inproceedings{ding-etal-2026-promed,
    title = "{P}ro{M}ed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical {LLM}s",
    author = "Ding, Hongxin  and
      Huang, Baixiang  and
      Fang, Yue  and
      Liao, Weibin  and
      Jiang, Xinke  and
      Zhang, Jinyang  and
      Zhu, Yinghao  and
      Li, Zheng  and
      Ma, Liantao  and
      Zhao, Junfeng  and
      Wang, Yasha",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.acl-long.1500/",
    pages = "32481--32515",
    ISBN = "979-8-89176-390-6"
}