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Jiayi Chen

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Preprint Oct 2026

UniWAM: Unified World-Action Model

Vision-language-action models benefit from the understanding and reasoning capabilities of pretrained vision-language models, but action-only supervision provides limited grounding in world dynamics. Conversely, world-action models inherit spatiotemporal priors from video generation models, yet remain limited in semant...

Jia-Yi Chen, Wen-Xuan Song, Jing-Bo Wang et al. · 0 citations
Preprint Aug 2026

4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields

4D-WAM is proposed, a model-agnostic training strategy that injects spatiotemporal knowledge from 3D trajectory fields into WAMs through representation alignment, enabling WAMs to learn trajectory-level spatiotemporal representations.

Lishan Yang, Wen-Xuan Song, Xi Wang et al. · 5 citations · ⚡1
Preprint Aug 2026

Is Forward Prediction Enough? Physical State Grounding for JEPA World Models

PSG-JEPA is proposed, a physically grounded JEPA world model that shapes its latent space with two complementary grounding objectives beyond forward prediction: grounding individual latents in robot proprioceptive state, and grounding latent pairs in multi-horizon joint-angle changes.

Hao-Dong Yan, Jia-Guang Zhu, Ming-Ming Jia et al. · 6 citations · ⚡1

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