A contrastive decoding method that contrasts a misleading prompt against a neutral rewrite reduces fawning hallucinations in LLMs, though most of the gain comes from the neutral prompt itself.
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Exploring and Mitigating Fawning Hallucinations in Large Language Models
A contrastive decoding method that contrasts a misleading prompt against a neutral rewrite reduces fawning hallucinations in LLMs, though most of the gain comes from the neutral prompt itself.