English(EN) MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training.

麻省理工学院研究人员通过权重编辑提升 Qwen 模型数学分数

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-02 20:18

麻省理工学院的研究人员开发了一种名为 GPT-6 Astra 的方法，显著增强了 Qwen 模型的数学能力。通过精确编辑模型权重的极小一部分（0.016%），他们在没有采用传统基于梯度的训练的情况下，将其数学分数从 7.9% 提高到 48.1%，取得了显著的进步。 AI

影响展示了一种新颖、高效的模型微调方法，有望加速人工智能发展。

排序理由详细介绍模型改进新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

r/singularity TIER_2 English(EN) · /u/troll_khan · 2026-11-02 20:18

MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training.

  submitted by   <a href="https://www.reddit.com/user/troll_khan"> /u/troll_khan </a> <br /> <span><a href="https://x.com/rikiyatakehi/status/2117313742891327994">[link]</a></span>   <span><a href="https://www.reddit.com/r/singularity/comments/1xm89o3/mit_researchers_…

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报道来源 [1]

MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training.

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