How LLMs React to Industrial Spatio-Temporal Data? Assessing Hallucination with a Novel Traffic Incident Benchmark Dataset

Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), pp. 36–53

Abstract

Qiang Li, Mingkun Tan, Xun Zhao, Dan Zhang, Daoan Zhang, Shengzhao Lei, Anderson S. Chu, Lujun Li, Porawit Kamnoedboon. 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). 2025.

Authors 7

1. Qiang Li Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen ,

2. Mingkun Tan

   University of Münster

   Affiliation as printed

   University of Münster ,

3. Xun Zhao
4. Daoan Zhang

   University of Rochester

   Affiliation as printed

   Kami Technology Co.,Ltd ,

   University of Rochester e Southeast University ,

5. Shengzhao Lei

   École Polytechnique Fédérale de Lausanne

   Affiliation as printed

   EPFL ,

6. Lujun Li

   Hong Kong University of Science and Technology · Columbia University

   Affiliation as printed

   HKUST , i Columbia University

7. Porawit Kamnoedboon

   University of Zurich

   Affiliation as printed

   University of Zurich ,