Author

Longtai Zhang

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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

Preprint Aug 2026

PointRL: Learning Point-Level Vision-Language Grounding from Verifiable Annotation Evidence

Vision-language models (VLMs) increasingly rely on point coordinates as a compact and executable interface for visual grounding in GUI interaction, robotic manipulation, and interactive visual systems. However, learning reliable pointing behavior remains difficult because the supervision space is inherently non-unique:...

Jing-Yang Su, Pu Cao, Xiu-Ze Jin et al. · 0 citations