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Nenggan Zheng

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#artificial intelligence Preprint Sep 2026

Beyond Endpoint Performance: Process-Level Evaluation of Self-Evolving Agents

Self-evolving agents convert interaction feedback into persistent artifacts, such as memories or skills, which in turn guide subsequent decisions. As these artifacts are iteratively updated throughout an experience stream, the capabilities they support may evolve. Consequently, endpoint performance alone offers an inco...

Hong-Qiang Lin, Chao Liu, Xiao-Fan Bai et al. · 1 citation

Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting

SkillBoost is proposed, a three-stage framework that mitigates both risks: structured exploitation localizes observed failures to editable skill components, prior-guided exploration draws on prior knowledge in the LLM to generate diverse repair candidates, and verified acceptance commits a candidate only when it improv...

Hong-Qiang Lin, Chao Liu, Xiaofan Bai et al. · 1 citation

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