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A single verification prompt is insufficient; learning a reliability score from multiple, complementary perspectives unlocks robust self-verification for VLMs.
Self-verification in SVR-R1 not only boosts multimodal reasoning accuracy but also reduces the need for extensive verification, showcasing a path to more confident model outputs.
