Fixing Function-Level Code Generation Errors for Foundation Large Language Models

Understand

Function-level code generation leverages foundation Large Language Models (LLMs) to automatically produce source code with expected functionality.

• It has been widely investigated and applied in intelligent programming assistants, such as GitHub Copilot, to enhance software development productivity.
• Despite advancements in foundation LLMs, the generation involves many errors.
• Existing studies leverage static analysis tools (e.g., TBar) or add another fixing LLM (i.e., LDB) to post-process these errors.