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Evaluating Large Language Models for Gene-to-Phenotype Mapping: The Critical Role of Full-Text Database Access

2025-06-12

Abstract excerpt

Transformer-based large language models (LLMs) have demonstrated significant potential in the biological and medical fields due to their ability to effectively learn from large-scale, diverse datasets and perform a wide range of downstream tasks. However, LLMs are limited by issues such as information processing inaccuracies and data confabulation. These limitations hinder their utility for literature searches and...

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Literature Corpus work
4ec0b18d-7d60-5291-8f56-5088a0bd5870
DOI
10.1101/2025.06.11.659165
Open publication

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Evaluating Large Language Models for Gene-to-Phenotype Mapping: The Critical Role of Full-Text Database AccessDOI 10.1101/2025.06.11.659165
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