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FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning Experience

52 upvotes · 3 SEP 2026 · Zixun Huang, Kishan Panaganti, Haitao Mi et al.

This paper introduces FlowBalance, a method that helps a reasoning model improve itself by learning from its own experiences, while avoiding overconfidence and focusing on the best solutions. Practitioners might care about this approach because it can lead to more accurate and diverse model performance.

reinforcement learningon-policy learningself-improvementverifierstrajectory balance