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Predict Before You Modify: Learning Improvement Dynamics for Self-Evolving Agents
Self-evolving agents improve through repeated cycles of modification and evaluation. However, existing methods receive feedback on modifications only after costly evaluations, and aggregate scores may obscure distinctions between failures that require different repairs. We introduce predictive self-
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