Rethinking self-evolution: a constrained exploration-exploitation process for mitigating skill overfitting
Read the original at arxiv.org→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...
Original headline: "Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting"
Coverage timeline
- Jul 30, 04:00 UTC arXiv cs.AI lead source Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting