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Ping Jiang

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#reinforcement learning Preprint Aug 2026

CoEvoKG: Co-Evolving Knowledge Graphs with Self-Evolving Search Agents

CoEvoKG is introduced, a framework that turns a knowledge graph into both a source of verifiable training tasks and a persistent evidence memory for agent evolution, closing the loop between model self evolution and knowledge accumulation.

Zhaoyang Li, Zenghuang Fu, Qiuyuan Ai et al. · 0 citations

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