@inproceedings{li-etal-2025-towards-reliable,
    title = "Towards Reliable Generation of Clinical Chart Items: A Counterfactual Reasoning Approach with Large Language Models",
    author = "Li, Jiaxuan  and
      Rezayi, Saed  and
      Baldwin, Peter  and
      Harik, Polina  and
      Yaneva, Victoria",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers",
    month = oct,
    year = "2025",
    address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://aclanthology.org/2025.aimecon-main.16/",
    pages = "142--153",
    ISBN = "979-8-218-84228-4"
}