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English(EN) Self-Attention Dynamics with Rotary Position Embeddings: Twisted States and Explicit Consensus Rates on the Sphere

新研究探讨了具有旋转位置嵌入的自注意力动力学

研究人员分析了在引入旋转位置嵌入(RoPE)时自注意力机制的动力学。他们的研究聚焦于单位球面上的归一化令牌动力学,揭示了RoPE会引入与正负号导数之间复杂的相互作用。分析表明,虽然共识状态仍然是平衡点,但其线性化是一个可逆的马尔可夫算子,取决于RoPE平面上共识点的能量。研究结果还详细介绍了不变区域、具有特定界限的收缩率,以及由RoPE选择的扭曲分支,该分支在某些配置中会导致不稳定性。 AI

影响 为注意力机制的行为提供了理论见解,可能为未来的模型架构提供信息。

排序理由 详细介绍AI模型特定组件理论分析的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新研究探讨了具有旋转位置嵌入的自注意力动力学

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详细介绍AI模型特定组件理论分析的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Hao Ye (Xi'an Institute of Optics,Precision Mechanics, Chinese Academy of Sciences, University of Chinese Academy of Sciences) ·

    具有旋转位置嵌入的自注意力动力学:球面上的扭曲态和显式共识率

    arXiv:2607.24502v1 Announce Type: cross Abstract: Rotary position embeddings (RoPE) modify attention scores through position-dependent rotations, but their effect on normalized token dynamics is not captured by the vanilla spherical self-attention model. We study the continuous-t…