arxiv
PublishedJuly 31, 2026 at 4:00 AM
▲bullish
Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting
Publisher summary· verbatim
arXiv:2607.26643v1 Announce Type: new Abstract: Enabling large language model (LLM) agents to accumulate and reuse experience from past interactions remains a central challenge in real-world applications. A promising solution is to treat skills as trainable states and optimize them in the same way a
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Originally published on arxiv ↗