perception-aware-policy-optimization

Optimize multimodal LLMs by directly targeting perception errors using KL-divergence based perception loss, improving visual reasoning by 8-19% on vision-dependent tasks. Integrates perception-aware signals into policy gradients without relying solely on reward modifications.

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