OmniConfess: Eliciting Token Confessions to Mitigate Omni-Modal Hallucination
OmniConfess is introduced, a training-free method for mitigating omni-modal hallucinations that fixes a candidate response and re-scores it at token resolution under controlled channel-wise evidence interventions, producing a structured token-by-channel confession that reveals the response's evidential dependence.
Hui-Qiang Rong, Hao-Ran Luo, Hui-Ze Feng et al.
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