Author

Rong-Ze Tang

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#artificial intelligence Preprint Sep 2026

CoDrive: Cross-Vehicle World-Consistent Video Generation with Precise Trajectory Control for Cooperative Driving

Real-world driving is inherently multi-agent, yet most existing driving world models generate observations from a single ego vehicle. Independently extending them to multiple vehicles does not ensure that different agents observe a consistent shared world. We present CoDrive, a cross-vehicle, multi-view driving video g...

Yu Meng, Bai-Ning Zhao, Jun-Tao Wu et al. · 0 citations

#artificial intelligence Preprint Aug 2026

IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training

IMPACT is introduced, a scalable Interaction-aware Model training framework with Prior-guided Attention Calibration and Targeting, which consistently outperforms the corresponding MSE-trained baselines, improving interaction fidelity, physical plausibility, and visual quality.

Rong-Ze Tang, Jianjie Fang, Zhao-Lu Wang et al. · 1 citation

#artificial intelligence Preprint Aug 2026

CAER: Causal Action Effect Reweighting for World Model Training

Causal Action Effect Reweighting (CAER), a general training paradigm that redistributes supervision toward the tokens whose predicted future is causally affected by the action, is introduced.

Jian-Jie Fang, Xvyuan Liu, Zi-You Wang et al. · 0 citations