Shypd.aiThe largest open index of AI toolsReasonFlux is an open-source LLM post-training suite that enhances reasoning capabilities through data selection, reinforcement learning, and inference scaling. It features specialized models for process reward modeling and code generation.
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ReasonFlux is an advanced open-source LLM post-training suite developed by a collaboration of Princeton University, PKU, UIUC, University of Chicago, and ByteDance Seed. Its core mission is to build next-generation reasoning capabilities by focusing on innovative algorithms for data selection, reinforcement learning, and inference scaling. The suite includes ReasonFlux-PRM, which offers trajectory-aware process reward models for long Chain-of-Thought (CoT) reasoning, providing dense supervision for data selection and policy optimization. ReasonFlux-Coder introduces a co-evolutionary reinforcement learning approach for LLM coders and unit testers, leading to more robust coding capabilities. Additionally, the suite incorporates preliminary work on thought templates, such as Buffer of Thoughts and SuperCorrect, to guide complex problem-solving and achieve state-of-the-art performance with higher efficiency.
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