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基准测试Benchmark

Benchmark

  • 选型与成本Selection & cost
  • 第六站 · 选得对Station 6 · Choosing Right
  • 引用核验 2026-11-03refs checked 2026-11-03
解决什么问题What problem it solves

用统一的题库横向比较模型强弱。Compare models on a common question set.

这是什么What it is

标准化评测集(如 MMLU、HumanEval、SWE-bench、RULER 等)给出的分数。

不同基准测不同能力:知识问答、代码修复、长上下文、Agent 任务不能互相替代。

A score from a standardised evaluation set such as MMLU, HumanEval, SWE-bench or RULER.

Different benchmarks measure different abilities: knowledge Q&A, code repair, long context and agent tasks are not interchangeable.

为什么需要知道Why it matters

重要但不可尽信——公开榜单容易过时,也可能与你的实际任务无关;看版本、训练截止日与是否去污染。Important but not gospel: public leaderboards age quickly and may not match your task; check the version, training cutoff and decontamination.

出处Sources
  • MMLU 论文Measuring Massive Multitask Language Understanding (MMLU) ↗
  • SWE-bench 论文(arXiv 2310.06770)SWE-bench: Can Language Models Resolve Real-World GitHub Issues? ↗
  • RULER 论文(arXiv 2404.06654)RULER: What's the Real Context Size of Your Long-Context Language Models? ↗
  • HELM 评测榜Holistic Evaluation of Language Models (HELM) ↗