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Beyond Functional Correctness: Static Code Quality Profiling of LLM-Generated Code
Large language models (LLMs) are increasingly used for code generation, yet most evaluations still focus on whether generated code passes benchmark test suites. Functional correctness alone, however, provides only a limited view of quality: benchmark tests are often incomplete, and passing them does
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