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Function-level execution feedback improves LLM code generation via process supervision

arXiv technique: supervise LLM code generation not just on final output correctness but on intermediate function execution results. Signals mid-step errors so model learns to self-correct mid-generation, not just end-to-end.

WHY IT MATTERS

BFSI data pipelines and risk models rely on LLM-generated code. Function-level feedback reduces silent bugs (code runs but computes wrong risk metric). Applicable to code review tools and automated testing pipelines in model deployment.

Source: arXiv · 2026-08-27

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Function-level execution feedback improves LLM code generation via process supervision — ath — AITechHive