الباحثون

Ruifeng Li

المنشورات 2

نسخة أولية وصول مفتوح

Does Learning to Predict the World Help Agents Act? Auditing World-Model Post-Training

Xinyu Che, Hang Yan, Yanchen Liu وآخرون · 2026

Predicting how an environment will change before acting is a natural route to better decision making for agents. Recent post-training methods therefore require agents to predict the next observation and turn that prediction into a reward or a direct supervision signal, which is called world model. Existing next-observa …

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MatchFusion: Explicit-Implicit Instance Matching for Spatio-Temporal Multimodal Autonomous Driving

Xiaoyu Li, Jiajia Fu, Long Shi وآخرون · 2026

Sparse instance representations provide a compact interface for spatial LiDAR-camera and temporal past-current interaction in multimodal perception and E2EAD. Effective interaction requires reliable instance correspondences despite geometric discrepancies and heterogeneous semantic representations. Attention-based meth …

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