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Source arXiv Machine Learning export.arxiv.org Analyst
October 28, 2026 ai_technology research

Evolving to Match Capabilities: Improving Harness Self-Evolution via Skill Adaptation

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Overview

arXiv:2610.33024v1 Announce Type: new Abstract: Harness self-evolution offers a practical route for LLM agents to improve from execution experience without updating model parameters. Its effectiveness depends on whether models can successfully act on the guidance provided by their harnesses. However, we find that harness benefits are not uniform across model capabilities: skills that improve stronger models can provide little benefit or even degrade performance for weaker ones. Across seven mode

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