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English(EN) TANGO: Token-Aggregated Nonlinear Gating Operators for Natural and Formal Language Modeling

TANGO模型引入了新颖的门控算子用于语言建模

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了一种新颖的语言建模架构TANGO，该架构通过非线性门控算子聚合令牌信息。该方法用单个跨令牌门控残差更新取代了标准的Transformer组件。其变体WANGO通过处理最近的窗口并使用旧数据的前缀统计信息，提供了线性复杂度。尽管TANGO的操作次数较高，但TANGO和WANGO在FineWeb-Edu、Lean和DeepMind Mathematics等基准测试上的表现均优于其他模型。 AI

影响 引入了一种可能为语言建模任务提供更高性能和效率的新架构。

排序理由 该集群描述了一篇介绍新语言模型架构的研究论文。[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 →

TANGO模型引入了新颖的门控算子用于语言建模

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该集群描述了一篇介绍新语言模型架构的研究论文。[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) · Joshua Nunley ·

    TANGO：用于自然语言和形式语言建模的令牌聚合非线性门控算子

    arXiv:2608.22117v1 Announce Type: cross Abstract: A standard Transformer block separates cross-token interaction in self-attention from a nonlinear feed-forward network applied independently at each position. We introduce the TANGO model (Token-Aggregated Nonlinear Gating Operato…

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