Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang 0001. Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study. In Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii, editors, Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024. pages 645-654, ACM, 2024. [doi]

@inproceedings{SuiZZH024,
  title = {Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study},
  author = {Yuan Sui and Mengyu Zhou and Mingjie Zhou and Shi Han and Dongmei Zhang 0001},
  year = {2024},
  doi = {10.1145/3616855.3635752},
  url = {https://doi.org/10.1145/3616855.3635752},
  researchr = {https://researchr.org/publication/SuiZZH024},
  cites = {0},
  citedby = {0},
  pages = {645-654},
  booktitle = {Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024},
  editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andrés Muñoz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii},
  publisher = {ACM},
}