@inproceedings{xiao-etal-2025-overview,
    title = "Overview of the {B}io{L}ay{S}umm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports",
    author = "Xiao, Chenghao  and
      Zhao, Kun  and
      Wang, Xiao  and
      Wu, Siwei  and
      Yan, Sixing  and
      Goldsack, Tomas  and
      Ananiadou, Sophia  and
      Al Moubayed, Noura  and
      Zhan, Liang  and
      Cheung, William K.  and
      Lin, Chenghua",
    editor = "Demner-Fushman, Dina  and
      Ananiadou, Sophia  and
      Miwa, Makoto  and
      Tsujii, Junichi",
    booktitle = "ACL 2025",
    month = aug,
    year = "2025",
    address = "Viena, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/acl25-workshop-ingestion/2025.bionlp-1.31/",
    pages = "365--377",
    ISBN = "979-8-89176-275-6",
    abstract = "This paper presents the setup and results of the third edition of the BioLaySumm shared task on Lay Summarization of Biomedical Research Articles and Radiology Reports, hosted at the BioNLP Workshop at ACL 2025. In this task edition, we aim to build on the first two editions' successes by further increasing research interest in this important task and encouraging participants to explore novel approaches that will help advance the state-of-the-art. Specifically, we introduce the new task of Radiology Report Generation with Layman{'}s terms, which is parallel to the task of lay summarization of biomedical articles in the first two editions. Overall, our results show that a broad range of innovative approaches were adopted by task participants, including inspiring explorations of latest RL techniques adopted in the training of general-domain large reasoning models."
}