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cs.AI2026
CoMAP: Co-Evolving World Models and Agent Policies for LLM Agents
Youwei Liu, Jian Wang, Hanlin Wang +1
Equipping language agents with world models enables them to anticipate environment dynamics and evaluate candidate actions before execution. However, existing textual world models…
cs.CV2026
Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing
Jiahe Fan, Shaolong Shu, Mingjian Sun +4
Reliable driving scene parsing is a fundamental capability for autonomous vehicles operating in open and dynamic driving environments. However, adapting perception models to new de…