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English(EN) Dynamical phase selection controls compute scaling in looped transformers

动态相位选择控制循环Transformer中的计算扩展

研究人员发现,循环Transformer在推理过程中的计算成本由其动态相位决定,而动态相位受初始化影响。具有相同架构和目标但初始化不同的网络会进入不同的动态相位,从而导致不同的计算扩展行为。该研究详细介绍了特定的分岔机制,如鞍节点折叠和Neimark-Sacker跃迁,如何区分这些相位并影响测试时的计算量。 AI

影响 这项研究通过理解初始化如何影响计算扩展,可能带来更高效的Transformer架构。

排序理由 这是一篇发表在arXiv上的研究论文,详细介绍了关于循环Transformer行为的新发现。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

动态相位选择控制循环Transformer中的计算扩展

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这是一篇发表在arXiv上的研究论文,详细介绍了关于循环Transformer行为的新发现。[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) · Gunn Kim ·

    动态相位选择控制循环 Transformer 中的计算扩展

    arXiv:2608.26556v1 Announce Type: cross Abstract: A looped transformer performs inference by iterating a weight-tied map, making its computation a dynamical process whose cost is set by the resulting inference dynamics. Here we show that networks with identical architecture and o…