@inproceedings{wang-etal-2025-process,
    title = "Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise",
    author = "Wang, Hanyin  and
      Gao, Chufan  and
      Xu, Qiping  and
      Liu, Bolun  and
      Hussein, Guleid  and
      Korsapati, Hariprasad Reddy  and
      El Labban, Mohamad  and
      Iheasirim, Kingsley  and
      Hassan, Mohamed  and
      Anil, Gokhan  and
      Bartlett, Brian  and
      Sun, Jimeng",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.967/",
    pages = "19138--19158",
    ISBN = "979-8-89176-332-6"
}