@inproceedings{tang-etal-2025-cognibench,
    title = "{C}ogni{B}ench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models",
    author = "Tang, Xiaqiang  and
      Li, Jian  and
      Hu, Keyu  and
      Du, Nan  and
      Li, Xiaolong  and
      Zhang, Xi  and
      Sun, Weigao  and
      Xie, Sihong",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.acl-long.1046/",
    pages = "21567--21585",
    ISBN = "979-8-89176-251-0"
}