OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration

ArXi:2605.28805v1 Announce Type: cross Visual outcomes are increasingly central to multimodal large language models, making reliable and fine-grained verification essential for scaling generalist foundation models. In this work, we investigate multimodal meta-verification, which leverages verifier-generated rationales rather than decision-only signals, and explore how to effectively incorporate meta-verification feedback into multimodal verifier