Author

Xueyue Zhu

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Preprint Sep 2026

InternW0-$\Delta$: A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open Data

Causal Imprint is introduced, which learns future-relevant scene changes from training-only future supervision and provides predictive representations directly to the action expert without future-video rollout at inference.

Xing-Yu Miao, Zi-Zun Li, Bao-Le Fang et al. · 3 citations · ⚡1

#artificial intelligence Preprint Sep 2026

InternW0: A Foundational Physical World Model for Efficient Real-World Interactions

This work introduces InternW0, the first instantiation of the InternW physical world model series from Shanghai AI Laboratory, built around omnimodal interfaces, asynchronous multi-frequency processing, and local physical modeling under partial observations and external influences.

Ji-Song Cai, Yao Mu, Gan-Lin Yang et al. · 0 citations

Jul 2026

InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization

InternVLA-A1.5 is presented, which builds the policy on a native VLM backbone that keeps training on VQA and subtask prediction, and attaches a lightweight unified expert for continuous action generation, and achieves the best overall results on all six simulation benchmarks.

Haoxiang Ma, Junhao Cai, Xiaoxu Xu et al. · arXiv.org · 10 citations · ⚡1