Article

Automated Identification of Contextually Relevant Biomedical Entities with Grounded LLMs

2025-07-08

Abstract excerpt

This study investigates the effectiveness of different large language models (LLMs) for automated biomedical entity annotation in research articles with a focus on contextualized and grounded results. A 4-step generative workflow iteratively generates and refines entity candidates by considering a metadata schema for context and agentic tool use for validation with the PubTator 3 data base. The precision of this f...

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Literature Corpus work: 9d5bcc3e-d53e-5df9-a926-5c97bdf9a007
DOI: 10.1101/2025.07.07.25331004

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