🧠 Supervised Reinforcement Learning for Step-wise Reasoning
An episode of the Build Wiz AI Show podcast, hosted by Build Wiz AI, titled "🧠 Supervised Reinforcement Learning for Step-wise Reasoning" was published on November 11, 2025 and runs 12 minutes.
November 11, 2025 ·12m · Build Wiz AI Show
Summary
Large Language Models often struggle with complex, multi-step reasoning where traditional Supervised Fine-Tuning (SFT) and Reinforcement Learning (RLVR) fail due to rigid imitation or sparse rewards. We dive into Supervised Reinforcement Learning (SRL), a novel framework that reformulates problem-solving into a sequence of logical actions, providing rich, step-wise guidance based on expert similarity. Discover how this approach enables small models to achieve superior performance in challenging mathematical reasoning and agentic software engineering tasks, inducing flexible and sophisticated planning behaviors.
Episode Description
Large Language Models often struggle with complex, multi-step reasoning where traditional Supervised Fine-Tuning (SFT) and Reinforcement Learning (RLVR) fail due to rigid imitation or sparse rewards. We dive into Supervised Reinforcement Learning (SRL), a novel framework that reformulates problem-solving into a sequence of logical actions, providing rich, step-wise guidance based on expert similarity. Discover how this approach enables small models to achieve superior performance in challenging mathematical reasoning and agentic software engineering tasks, inducing flexible and sophisticated planning behaviors.
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