Sampling future contexts improves hallucination detection in black-box LLMs by exploiting the persistence of hallucinations.
In Findings of the Association for Computational Linguistics: EMNLP 2024 , pages 9447–9474, Miami, Florida, USA
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Enhancing Hallucination Detection via Future Context
Sampling future contexts improves hallucination detection in black-box LLMs by exploiting the persistence of hallucinations.