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The integration of reinforcement learning (RL) into the reasoning capabilities of Multimodal Large Language Models (MLLMs) has rapidly emerged as a transformative research direction. While MLLMs ...

While structural reasoning introduces predefined patterns to guide MLLMs toward more systematic reason- ing, it remains constrained by shallow reasoning depth and limited adaptability. To handle more ...