Code Generation And Debugging

via “code generation with execution-based verification and test case validation”

Alibaba's 32B reasoning model with chain-of-thought.

Unique: Integrates code execution servers directly into the RL training loop (Stage 1) to provide outcome-based rewards, enabling the model to learn from actual test case failures rather than static code quality metrics, achieving 96.4% on MATH-500 and strong LiveCodeBench performance

vs others: More reliable than Copilot for algorithmic problems because it's trained with execution feedback; more interpretable than Claude's code generation because reasoning steps are visible; more efficient than o1 for code tasks due to 32B parameter footprint