{"slug": "flowbalance-verifier-grounded-self-improvement-from-on-policy-reasoning", "title": "FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning Experience", "summary": "Researchers introduced FlowBalance, a method that improves reasoning models by combining sparse terminal verifier supervision with on-policy experience, addressing the fragility of self-improvement loops. The approach aims to prevent overconcentration on narrow solution modes and false confidence reinforcement.", "body_md": "A reasoning model can improve from its own on-policy experience, but this inner loop is fragile: terminal verifiers provide reliable yet sparse supervision, while dense same-model guidance can reinforce false confidence or overconcentrate learning on a narrow solution mode. We introduce FlowBalance,", "url": "https://wpnews.pro/news/flowbalance-verifier-grounded-self-improvement-from-on-policy-reasoning", "canonical_source": "https://aiflash.com/news/115394/", "published_at": "2026-09-08 06:30:02+00:00", "updated_at": "2026-09-08 07:01:09.384343+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "ai-research"], "entities": ["FlowBalance"], "alternates": {"html": "https://wpnews.pro/news/flowbalance-verifier-grounded-self-improvement-from-on-policy-reasoning", "markdown": "https://wpnews.pro/news/flowbalance-verifier-grounded-self-improvement-from-on-policy-reasoning.md", "text": "https://wpnews.pro/news/flowbalance-verifier-grounded-self-improvement-from-on-policy-reasoning.txt", "jsonld": "https://wpnews.pro/news/flowbalance-verifier-grounded-self-improvement-from-on-policy-reasoning.jsonld"}}