Preprint Open access
OmniConfess: Eliciting Token Confessions to Mitigate Omni-Modal Hallucination
Omni-modal large language models (OmniLLMs) unify text, images, audio, and video, yet hallucinate when generation relies on the wrong evidence. Existing inference-time methods can reduce hallucinations, but rarely reveal which evidence sustains a generated commitment. We introduce OmniConfess, a training-free method fo …