Author

Wenqiang Zhang

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Preprint Sep 2026

Beyond Token Importance: Preserving Spatial Scaffolds for Efficient Vision-Language-Action Inference

Existing VLA pruning strategies primarily select individual visual tokens according to task-level semantic relevance, while overlooking the spatial information required for robotic manipulation. To examine this limitation, we construct a simple Stride baseline that uniformly samples tokens along the flattened one-dimen...

Jia-Yu Chen, Shuyong Gao, Jing-Kai Jia et al. · 0 citations

Jul 2026

QuantWAMs: Calibrating at the Right Granularity for World Action Models

QuantWAMs is presented, a PTQ framework that aligns quantization decisions with the calibration context defined by model structure, rollout distribution, and task objective, and co-training-objective saliency, which computes empirical-Fisher scores from the joint video--action gradient and assigns weight precision at a...

Jia-Chen Zhou, Jinfan Lv, Ruixuan Li et al. · arXiv.org · 0 citations