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VRR-Stop

Principled stopping framework for LLM agent repair loops that prevents over-correction

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Research framework addressing a critical problem in iterative LLM agents: knowing when to stop repairs. VRR-Stop provides robust decision-making for verify-repair-repeat loops, preventing agents from damaging already-correct solutions while maximizing validity in code generation and reasoning tasks. Based on statistical principles for handling noisy verification signals common in real-world agent deployments.

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autonomouscoding-agentevaluationframeworkopen-sourceresearch