@inproceedings{si-etal-2024-large,
    title = "Large Language Models Help Humans Verify Truthfulness {--} Except When They Are Convincingly Wrong",
    author = "Si, Chenglei  and
      Goyal, Navita  and
      Wu, Tongshuang  and
      Zhao, Chen  and
      Feng, Shi  and
      Daum{\'e} Iii, Hal  and
      Boyd-Graber, Jordan",
    editor = "Duh, Kevin  and
      Gomez, Helena  and
      Bethard, Steven",
    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.naacl-long.81/",
    doi = "10.18653/v1/2024.naacl-long.81",
    pages = "1459--1474"
}