Author

Liang Lin

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Preprint Aug 2026

CometVLA: Co-Training on an Embodied Data Pyramid towards Physical Understanding

Results demonstrate that physical understanding pre-training genuinely benefits downstream manipulation inVision-language-action models, and introduce GAP tokens, a compact learnable bottleneck that isolates task-agnostic motion regularities and lets the action head consume physical commonsense without corrupting the p...

Hanwen Wan, Dafeng Chi, Lin-Bo Zhai et al. · 1 citation

Preprint Aug 2026

WorldSimProbe: Diagnosing Simulator Faithfulness in Action-Conditioned World Models for Embodied Manipulation

This work formalizes Observable Simulator Contract, a minimal contract that any action-conditioned physical simulator should satisfy: supplied actions must induce corresponding agent motion, and environment responses must be grounded in that realized motion.

P. Co, Sichen Hu, Chun-Xuan Jiao et al. · 1 citation