A new paper introduces a reinforcement learning framework aimed at improving the synergy between perception and reasoning in Vision-Language Models (VLMs) by addressing the ambiguity in modality credit assignment. The proposed techniques, including Perception Verification and Structured Verbal Verification, enable better error identification and performance across various tasks.