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

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.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.bionlp-share.25
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00

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

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

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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.

University of Washington
Zero hunger
Openalex Percentile: Top 83%
Biomedical Text Mining and Ontologies
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