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Synthetic scenes with automatically grounded object identities unlock substantial real-world perceptual gains in MLLMs via on-policy self-distillation.
MLLMs can get a surprising visual reasoning boost from a simple trick: adding just a dash of visually grounded self-supervision to instruction tuning.