@inproceedings{bechler-etal-2025-tlpiq,
    title = "{TLPIQ} at {B}io{L}ay{S}umm: Hide and Seq, a {FLAN}-T5 Model for Biomedical Summarization",
    author = "Bechler, Melody  and
      Crowther, Carly  and
      Luedke, Emily  and
      Schimka, Natasha  and
      Sharaf, Ibrahim",
    editor = "Soni, Sarvesh  and
      Demner-Fushman, Dina",
    booktitle = "BioNLP 2025 Shared Tasks",
    month = aug,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/acl25-workshop-ingestion/2025.bionlp-share.25/",
    pages = "196--201",
    ISBN = "979-8-89176-276-3",
    abstract = "BioLaySumm 2025 is a shared task that aims to automatically generate lay summaries of scientific papers for a wider audience of readers without domain-specific knowledge, making scientific discoveries in the domain of biology and medicine more accessible to the general public. Our submission to the task is a FLAN-T5 base model fine-tuned on the abstract and conclusion of articles and expert-written lay summaries from the shared task{'}s provided datasets. We find that our system performs competitively in terms of relevance, exceeds the baseline on factuality, but falls short on readability."
}