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This work presents a diagnostic and optimization framework grounded in a key empirical finding: the value of tokens within a CoT reasoning sequence is highly non-uniform, and this non-uniformity can be effectively characterized by token-level log probability signals.
This work studies Post Hallucination Reasoning (PHR), the stage in which hallucinated semantics enter the model's inference context and influence downstream predictions, and introduces HIVE, Hallucination Inference and Verification Engine, an evaluation infrastructure that enables controlled comparisons between faithfu...
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