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cs.CL2026
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
Youwei Liu, Jian Wang, Hanlin Wang +2
Recent advances in world models have shown promise for modeling future dynamics of environmental states, enabling agents to reason and act without accessing real environments. Curr…
cs.CL2026
To Retrieve or To Think? Cross-Boundary Context Evolution for Multi-hop Complex Reasoning
Rubing Chen, Jian Wang, Wenjie Li +2
Current context augmentation methods, such as retrieval-augmented generation, play a crucial role in bridging a model's internal knowledge boundary and external evidence for multi-…