AT-RL Reinforces MLLM Anchors for Reasoning
AT-RL selectively reinforces high-connectivity cross-modal anchor tokens (15% of total) in MLLM RLVR via attention graph clustering. 32B model hits 80.2% on MathVista, beating 72B baseline with 1.2% overhead. Low-connectivity training degrades performance.






