@inproceedings{li-etal-2025-llms,
    title = "How {LLM}s React to Industrial Spatio-Temporal Data? Assessing Hallucination with a Novel Traffic Incident Benchmark Dataset",
    author = "Li, Qiang  and
      Tan, Mingkun  and
      Zhao, Xun  and
      Zhang, Dan  and
      Zhang, Daoan  and
      Lei, Shengzhao  and
      Chu, Anderson S.  and
      Li, Lujun  and
      Kamnoedboon, Porawit",
    editor = "Chen, Weizhu  and
      Yang, Yi  and
      Kachuee, Mohammad  and
      Fu, Xue-Yong",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.naacl-industry.4/",
    pages = "36--53",
    ISBN = "979-8-89176-194-0"
}