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NewsTopic · GPT-OSS数学评分1 min read·2026-10-06

Open Models Judge Math Proofs Cheaply

New research claims open-weight models like GPT-OSS match frontier LLMs in grading math proofs at a fraction of the cost.

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2026-10-06 12:00 GMT+8

Open-weight models GPT-OSS-120B and DeepSeek-V4-Flash perform statistically no worse than frontier models like Claude Opus 4.7 in automated mathematical proof grading, while costing 4 to 100 times less.

Traditionally, evaluating AI mathematical reasoning relies on expensive frontier LLMs as judges. This study found that using a consensus of three cheaper open-source models serves as an effective alternative on the IMO-GradingBench benchmark.

The experiments showed that a unanimous voting rule achieved the highest precision (0.855), while majority voting yielded the highest recall (0.912). These findings replicated on the independent ProofBench dataset.

This result comes from author-run tests in a preprint (arXiv:2608.00004v2) and has not yet been independently reproduced by third parties.

Sources

  • 原始出处arxiv.org↗
Topic

GPT-OSS数学评分

OpenAI 发布的开源模型 GPT-OSS 在数学证明自动评分任务中,展现出与前沿闭源模型相当的能力,但成本大幅降低。2025年8月,OpenAI 发布 gpt-oss-120b 和 gpt-oss-20b,作为其自 GPT-2 以来首批…

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Updated 2026-10-07 08:52

How it got here

  1. 2025-08-05OpenAI 发布 gpt-oss-120b 和 gpt-oss-20b 两个开源权重模型,采用混合专家(MoE)架构,声称在推理任务上接近 o4-mini 性能,且支持本地部署。
  2. 2025-08-17独立研究团队发布评估报告,对比 GPT-OSS 与其他开源模型,发现 gpt-oss-20B 在 HumanEval 和 MMLU 等基准上表现优于 gpt-oss-120B,质疑稀疏架构的缩放效应。
  3. 2026-10-06研究论文 arXiv:2608.00004 发表,证实 GPT-OSS-120B 和 DeepSeek-V4-Flash 在数学证明评分上与前沿模型无显著差异,成本降低数十倍,并验证了“全票通过”规则的高精确率。

What is still unsettled

  • GPT-OSS 评分系统在 Gradescope 等大规模教学环境中的延迟与吞吐量是否满足实时反馈需求?
  • 针对手写数学公式的多模态评分,开源模型能否突破视觉解析瓶颈以匹配人类评分员水平?
  • “全票通过”与“多数投票”规则在不同难度题目上的误差分布是否存在系统性偏差?
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