Author

Hao-Wen Han

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Preprint Oct 2026

MORE: Learning Motion-Oriented Registers for Driving World Models and Planning

By predicting future states, latent world models provide rich self-supervision for end-to-end driving, but often inherit dense features from pretrained visual encoders as their world-state interface. This creates a mismatch: visual pretraining produces information-rich, spatially dense features, but their adaptation fo...

Yi Gu, Hao-Yu Wang, Shao-Cheng Yan et al. · 0 citations

Preprint Aug 2026

RISE: Adaptive Imagination for World Action Models

RISE is proposed, a system-level adaptive imagination framework that makes sequential sequential Roll/Stop decisions according to the expected planning benefit of continued rollout, with additional transfer results supporting its plug-in generality across WAM architectures.

Hong-Bo Lu, Liang Yao, Chenghao He et al. · 4 citations