Unverified50% confidenceFactExact time
Commonly used comprehensive evaluation frameworks include MMLU, HumanEval, MT-Bench, and HELM, each focusing on different capability dimensions.
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9/15/2026
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UnverifiedMMLU, HumanEval, and MT-Bench are standardized benchmark test sets widely recognized by the AI community.79% similarVerifiedMainstream large model evaluation benchmarks include MMLU, HumanEval/SWE-bench, MATH, and GPQA78% similarUnverifiedEvaluating actual model performance requires reference to independent benchmark results, such as MMLU, HumanEval, and MT-Bench.75% similarVerifiedMMLU evaluates a model's breadth of knowledge across 57 subject areas, HumanEval measures code generation accuracy, GSM8K tests mathematical reasoning, and HELM constructs a comprehensive multi-dimensional evaluation framework.71% similarUnverifiedHumanEval、SWE-bench等代码评测基准的排名是评估执行型Agent底层模型选型的重要参考维度70% similar
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