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Home/Research Paper Library/Detecting hallucinations in large language models using semantic entropy

Detecting hallucinations in large language models using semantic entropy

Oxford's semantic-entropy method for hallucination detection, published in Nature.

semantic entropyhallucination detectionoxford

Research question

Can confabulations be detected from uncertainty over meanings rather than tokens?

Key findings

Semantic entropy over clusters of paraphrased answers detects confabulations across models and datasets - Works without task-specific training

Sources

doi.orghttps://doi.org/10.1038/s41586-024-07421-0

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