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MuMath-Code develops tool-use LLMs for mathematical reasoning by integrating code generation and execution with multi-perspective data augmentation. It trains models in two stages—first on MuMath-Data, then on MuMath-Code-Data—to boost reasoning performance across scales, reportedly outperforming several open methods and some proprietary ones. The project seeks to advance LLM math capabilities by combining tool-free question augmentation with tool-based code execution, aiming to inspire further research.
We haven’t found MuMath-Code in the AI answers we’ve checked.