2025
ACL
ACL 2025
TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization
Abstract
AbstractBioLaySumm 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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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Learning Paradigms > Transfer Learning
Machine Learning > Core Methods > Classification
Machine Learning > Learning Types > Self-Supervised Learning
Natural Language Processing > Generation > Summarization
Natural Language Processing > Applications > Summarization
Deep Learning > Models > Large Language Models
Machine Learning > Learning Types > Fine-Tuning
Deep Learning > Models > Transformers
Deep Learning > Learning Types > Fine-Tuning
Deep Learning > Models > Language Models