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Wen-Zhao Li

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#artificial intelligence Preprint Oct 2026

Principles that Guide, Actions that Inform: Agent Evolution via Knowledge Abstraction

Large language model (LLM) agents have demonstrated strong capabilities in interactive environments, yet their ability to continually evolve from experience remains limited. Although fine-tuning enables adaptation, its dependence on parameter access and high computational costs restrict its flexibility, especially for...

Bo-Wen Ye, Yong-Chao Xu, Jun-Kai Ma et al. · 0 citations
Preprint Aug 2026

CoEvo-Mem: Co-Evolving Retrieval Policy and Memory Bank for LLM Agents

CoEvo-Mem alternates between updating the router with the memory bank fixed and evolving the memory bank with the retrieval policy fixed, demonstrating the importance of retrieval-memory coevolution.

Bowen Ye, Yongchao Xu, Zhijian Li et al. · 0 citations

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