@inproceedings{zhou-etal-2026-accountable,
    title = "Accountable {AI} with Grounded, Faithful, Consistent, Actionable Rationales: A Case Study in Clinical Trial Matching with {VERDICT}",
    author = "Zhou, Zikai  and
      Jin, Yufei  and
      Xu, Yilin  and
      Wang, Yu-Chiang  and
      Chao, Chieh-Ju  and
      Lam, Monica",
    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.2598/",
    pages = "58987--59032",
    ISBN = "979-8-89176-459-0"
}