Unverified90% confidenceFactTime unknown
HumanEval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
1
Sources
90%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
SWE-bench开放评测环境与训练方案：AI编程智能体研发门槛大幅降低
twitterSWEbench
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UnverifiedHumanEval tests code generation capabilities by requiring models to generate correct Python code based on function signatures and docstrings.77% similarUnverifiedHumanEval通过让模型根据函数签名和文档字符串生成完整函数实现来衡量编码准确率76% similarUnverifiedHumanEval以代码能否通过单元测试为唯一评判标准75% similarUnverifiedHumanEval and MBPP primarily measure a model's code generation capability, while code review is an essentially different task, and the industry currently lacks standardized code review benchmarks.74% similarUnverifiedModel evaluations in the code generation field, such as HumanEval and SWE-bench, place special emphasis on functional correctness rather than fluency.73% similar
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