DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes

ArXi:2605.28421v1 Announce Type: new Reinforcement learning has become a central paradigm for advancing reasoning in large language models, yet most existing methods still depend on stronger teacher models or heavily curated difficult datasets, limiting scalable capability improvement. In this paper, we