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English(EN) oHC: Orthogonal Hyper-Connections on SO(4) via Quaternions

新的正交超连接架构提高了 Transformer 训练稳定性

研究人员引入了正交超连接(oHC)作为 Transformer 模型的一种新颖架构,旨在提高训练稳定性和性能。与使用无约束矩阵的先前超连接(HC)或限制缩放因子的流形约束超连接(mHC)不同,oHC 将混合矩阵限制在 SO(n) 旋转群内。这种方法可以防止残差流的放大或衰减,确保训练稳定并保持流的多样性。所提出的方法利用一对单位四元数进行参数化,提供更快的计算速度,并在各种下游任务上优于基线模型。 AI

影响 引入了一种更稳定、可能更快的 Transformer 模型训练方法,这可能有利于未来大型语言模型的发展。

排序理由 该集群包含一篇详细介绍新模型架构的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的正交超连接架构提高了 Transformer 训练稳定性

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该集群包含一篇详细介绍新模型架构的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Haoqiang Guo, Xuyi Chen, Bo Ke, Yishu Lei, Ziyang Xu, Shikun Feng, Ximen, Wenhan Luo ·

    oHC: 四元数在 SO(4) 上的正交超连接

    arXiv:2609.02672v1 Announce Type: new Abstract: Hyper-Connections (HC) replace the single residual stream of a Transformer with $n$ parallel ones, mixing them at every layer with a learned $n \times n$ residual matrix. Leaving that matrix unconstrained places no limit on the fact…