@inproceedings{smirnova-etal-2025-numeric,
    title = "Numeric Information in Elementary School Texts Generated by {LLM}s vs Human Experts",
    author = "Smirnova, Anastasia  and
      Lee, Erin S.  and
      Li, Shiying",
    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://preview.aclanthology.org/name-variant-enfa-fane/2025.aimecon-main.20/",
    pages = "183--191",
    ISBN = "979-8-218-84228-4",
    abstract = "We analyze GPT-4o{'}s ability to represent numeric information in texts for elementary school children and assess it with respect to the human baseline. We show that both humans and GPT-4o reduce the amount of numeric information when adapting informational texts for children but GPT-4o retains more complex numeric types than humans do."
}