An automated framework for assessing how well LLMs cite relevant medical references

As large language models (LLMs) are increasingly used to address health-related queries, it is crucial that they support their conclusions with credible references. While models can cite sources, the extent to which these support claims remains unclear. To address this gap, we introduce SourceChecku...

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Bibliographic Details
Published in:Nature communications 2025-04, Vol.16 (1), p.3615-10, Article 3615
Main Authors: Wu, Kevin, Wu, Eric, Wei, Kevin, Zhang, Angela, Casasola, Allison, Nguyen, Teresa, Riantawan, Sith, Shi, Patricia, Ho, Daniel, Zou, James
Format: Article
Language:English
Subjects:
639/705/117
692/700
Automation
Humanities and Social Sciences
Humans
Language
Large language models
multidisciplinary
Natural Language Processing
Queries
Science
Science (multidisciplinary)
Trustworthiness
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