@inproceedings{shueh-etal-2026-diasentinel,
    title = "{DIASENTINEL}: An Auditable Multi-Agent System for Guideline-Grounded Diabetes Risk Screening",
    author = "Shueh, Yung Wei  and
      Chen, Zhi-Jie  and
      Hsu, Chia-Hsuan  and
      Hsu, Hsin-Ling  and
      Zhang, Donghua  and
      Wu, Chenwei  and
      Ding, Jun-En  and
      Zhang, Tongze  and
      Yang, Shihao  and
      Hu, Pengfei  and
      Hung, Fang Ming  and
      Liu, Feng",
    editor = "Agrawal, Sweta  and
      Abad, Alberto",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-demos.32/",
    pages = "320--329",
    ISBN = "979-8-89176-461-3"
}