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Preprint Sep 2026

PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models

Qualitative examples show the PhysBrain 1.5 model's ability to produce end-effector trajectories and predict future scenes through spatially aligned RGB, depth, and robot-mask outputs.

DeepCybo Team, Yue Bin, Hai-Peng Cao et al. · 0 citations
#artificial intelligence Preprint Sep 2026

STAR-Pro: Stage-Wise Token Adaptive Reduction with Progressive Refinement for Efficient Large Vision-Language Models

These findings show that effective pruning should preserve broad visual coverage before fusion and progressively refine the retained tokens as cross-modal evidence evolves during fusion, and propose STAR-Pro (STage-Wise Adaptive Token Reduction with Progressive Refinement), a training-free two-stage framework.

Yi-Chen Guo, Ting-Hao Wang, Qi-Zhe Zhang et al. · 1 citation

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