Work

TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization

Year: 2025

Type: conference-paper

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. 1

Source: Workshop on Biomedical Language Processing (BioNLP)

DOI: 10.18653/v1/2025.bionlp-share.25

Authors: Melody Bechler, Carly Crowther, Emily Luedke, Natasha Schimka, Ibrahim Sharaf

Institution: University of Washington

Language: English

Topic: Text Readability and Simplification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: University of Washington

OpenAlex ID: W4412889155