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News/DREvo: Distilling Recalibrated Historical Experience for Harness Self-Evolution
arxiv
PublishedJuly 30, 2026 at 4:00 AM
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DREvo: Distilling Recalibrated Historical Experience for Harness Self-Evolution

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arXiv:2607.26722v1 Announce Type: cross Abstract: Harness plays a critical role in large language model agent performance, and building a high-performing harness requires substantial expert effort. Therefore, recent research has increasingly explored harness self-evolution, which iteratively propose

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#machine-learning#research#evolution#optimization

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