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Found 2 papers, 1 papers with code
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval
Existing code generation benchmarks for Large Language Models (LLMs) such as HumanEval and MBPP are designed to study LLMs' end-to-end performance, where the benchmarks feed a problem description in natural language as input and examine the generated code in specific programming languages.
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit
However, the lack of automated code refactoring tools and scientifically validated refactoring techniques has hampered widespread industrial implementation.
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