PerceptRL: Making Visual Perception Rewardable in MLLMs from Answers to Interactions.

arXiv:2610.37471v1 Announce Type: cross Abstract: Fine-grained visual perception remains a bottleneck during post-training of multimodal large language models (MLLMs), as perceptual errors can constrain gains from reasoning-focused optimization. Although image