‘Fighting fire with fire’ — using LLMs to combat LLM hallucinations

Karin Verspoor ()

Nature, 2024, vol. 630, issue 8017, 569-570

Abstract: The number of errors produced by an LLM can be reduced by grouping its outputs into semantically similar clusters. Remarkably, this task can be performed by a second LLM, and the method’s efficacy can be evaluated by a third.

Keywords: Machine learning; Computer science (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1038/d41586-024-01641-0

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