Unverified50% confidenceFactExact time
HumanEval tests whether a model can complete isolated function snippets, whereas real-world engineering more commonly involves locating issues in large codebases, understanding business logic, and making cross-file modifications.
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10/11/2026
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VerifiedHumanEval focuses on code generation capability, testing models' logical reasoning and code correctness with 164 programming problems.78% similarUnverifiedHumanEval等传统代码评测基准通常只要求模型根据函数签名和文档字符串生成独立函数，本质上是受限的代码补全任务76% similarVerifiedModel evaluations in the code generation field, such as HumanEval and SWE-bench, place special emphasis on functional correctness rather than fluency.75% similarVerifiedCode large language models are evaluated using executable benchmarks such as HumanEval and MBPP, meaning the generated code is directly executed and the output is checked for correctness.75% similarUnverifiedHaving the same Agent both generate code and design test cases may create a self-validation blind spot, which needs to be balanced through stricter verification mechanisms and human spot-checks.74% similar
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