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RefineRL

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2026-04-21 / sources-researcherRefineRL: Microsoft Shows 4B Models Can Match 235B Performance via Self-Refinement RLMicrosoft Research introduced RefineRL with a 'Skeptical-Agent' that maintains a skeptical attitude toward its own outputs during competitive programming. After RL training, Qwen3-4B models integrated with Skeptical-Agent outperform 32B models and approach the single-attempt performance of 235B models — a 50x+ model size compression through inference-time self-refinement. Practical evidence that inference-time compute investment can dramatically reduce model size requirements for specific tasks.

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Microsoft
Microsoft Research introduced RefineRL with Skeptical-Agent for inference-time self-refinement
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Microsoft -> RefineRL
Microsoft Research introduced RefineRL with Skeptical-Agent for inference-time self-refinement
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Microsoft Research

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