AIBullisharXiv – CS AI · 3h ago7/10
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OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration
Researchers introduce OmniVerifier-M1, a multimodal verification system that uses symbolic outputs like bounding boxes rather than text explanations to improve error detection in visual AI models. The approach combines meta-verification feedback with decoupled reinforcement learning to enable more reliable and interpretable verification of multimodal foundation models, with applications in autonomous error correction.