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The paper shows that the hallucination signal in LLMs is dominated by a mean shift, making simple probes like L2-regularized logistic regression sufficient and outperforming complex alternatives.
This paper introduces InnerExpert, a method that leverages Mixture-of-Experts signals for per-token hallucination detection in LLMs, achieving superior performance over existing techniques.