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研究团队提出面向LoRA微调的ProLand优化方法

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2026年11月3日,研究人员在arXiv发布预印本论文,提出了一种面向LoRA微调的新型不可行流形优化方法ProLand(Product-space Landing)。根据报道,ProLand是一种无回拉优化器,主要通过结合协调因子更新与Muon风格谱方向,旨在改进大模型LoRA微调过程中的流形优化效率。

AI-generated from reports · Updated 20 hours ago

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Nov 3
  1. arXiv 机器学习
    ProLand:一种用于 LoRA 微调的新型不可行流形优化方法

    研究人员提出了无回拉优化器 ProLand(Product-space Landing),通过结合协调因子更新与 Muon 风格谱方向,改进 LoRA 微调中的流形优化效率。

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