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Database-Augmented Transformer-Based Large Language Models Achieve High Accuracy in Mapping Gene-Phenotype Relationships

2025-02-01

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, which hinder their utility for literature searches and other tasks...

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Literature Corpus work
6881c51c-7492-5962-9fe9-ad6cca7b8e63
DOI
10.1101/2025.01.28.635344
Open publication

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Database-Augmented Transformer-Based Large Language Models Achieve High Accuracy in Mapping Gene-Phenotype RelationshipsDOI 10.1101/2025.01.28.635344
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