Author

Zhao-Lu Wang

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#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, Jian-Jie 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