KL divergence of attention heads from uniform distribution predicts LLM answer correctness across datasets and model families.
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Detecting Hallucinations in Large Language Models via Internal Attention Divergence Signals
KL divergence of attention heads from uniform distribution predicts LLM answer correctness across datasets and model families.