Verified65% confidenceFactTime unknown
MMLU, HumanEval, and MT-Bench are standardized benchmark test sets widely recognized by the AI community.
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5/31/2026
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UnverifiedCommonly used comprehensive evaluation frameworks include MMLU, HumanEval, MT-Bench, and HELM, each focusing on different capability dimensions.79% similarVerifiedCredible capability evaluation of models in the AI field relies on standardized benchmark tests; commonly used evaluation sets include MMLU, HumanEval, MATH, and GPQA.78% similarUnverifiedTo evaluate whether a local model is suitable for your needs, you can refer to standardized benchmark scores such as MMLU and HumanEval.76% similarVerifiedStandard AI benchmarks include MMLU (a comprehensive knowledge test covering 57 subjects), GPQA (graduate-level professional question answering), SWE-bench (real-world software engineering tasks), HumanEval and MBPP (programming ability), and MATH and GSM8K (mathematical reasoning)75% similarVerifiedMainstream large model evaluation benchmarks include MMLU, HumanEval/SWE-bench, MATH, and GPQA75% similar
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