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CodeAssay: A Multi-Metric Benchmark with Audited Ground Truth for LLM Code Generation
Large Language Models are increasingly evaluated for code generation using test-based benchmarks. The validity of such evaluations depends on the reliability of their references and tests, while test-based correctness captures only part of the observable properties of generated code. We present Code
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