Author

Gao Huang

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Preprint Sep 2026

What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling

World action models (WAMs) predict the future alongside actions during training. Due to the heavy computation cost of video denoising, whether the future must still be generated during inference is disputed: Explicit WAMs denoise it into clean frames along with every action chunk, whereas Latent WAMs discard it entirel...

Ren-Ping Zhou, Zan-Lin Ni, Zi-Hao Fan et al. · 0 citations

#artificial intelligence Review Sep 2026

World Models for Embodied Intelligence: From Plausible to Controllable to Actionable

World models connect perception and decision-making in embodied intelligence by maintaining hidden state, anticipating consequences, comparing interventions, and adapting when execution departs from expectations. Although progress is often measured by visual fidelity, their value lies in improving behavior. Before reac...

Nan-Jie Yao, Hao Wang, Chong Cheng et al. · 0 citations