Author

Xue-Feng Chen

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Preprint Aug 2026

BehaviorWorldGen: Closing the Loop between Action Models and World Simulators via Controllable Behavior-Aware Structured World Generation

Modern driving action models are increasingly improved in a self-improvement loop, where a learned world simulator imagines future observations and the resulting data is fed back to refine the action model. However, the bottleneck of this loop lies in the simulators'inability to generate behaviorally plausible response...

Jia-Qi Wang, Zhuo Zhang, Hai-Ning Guan et al. · 0 citations

Preprint Aug 2026

GaussianDWM++: Language-Grounded 3D Gaussian Driving World Model for Unified Scene Understanding, Editing, and Multi-Modal Generation

This work proposes a foundation-feature Gaussian driving world model that unifies scene understanding, language-grounded reasoning, controllable 4D editing, and multi-modal generation within a single framework and introduces a foundation-feature Gaussian tokenizer that directly distills Qwen/SigLIP visual-language feat...

Tianchen Deng, Xue-Feng Chen, Shuang Wu et al. · 0 citations