English(EN) Accordion: Elastic-Depth Inference via Fixed-Prefix Layer Looping

Accordion 模型通过层循环提供灵活的推理深度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-26 04:00

研究人员开发了 Accordion，这是一种新颖的混合专家模型，专为在各种计算预算下进行灵活推理而设计。通过采用固定前缀层循环，Accordion 支持五个不同的推理深度，允许应用程序根据可用资源扩展计算。这种方法使单个模型能够在每个预算上与专用模型相媲美，更深的推理在数学推理和代码生成等领域可带来更好的性能。 AI

影响能够跨不同的硬件和成本限制更有效地部署大型语言模型。

排序理由详细介绍新模型架构及其性能的学术论文。[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 →

本文如何被排名

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Newsworthiness bucket: Tool; 详细介绍新模型架构及其性能的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Yudong Zhang, Wei Ding, Kaili Zheng, Yuchen Ding, Zhenyu Zhang · 2026-10-26 04:00

手风琴：通过固定前缀层循环实现弹性深度推理

arXiv:2610.32492v1 Announce Type: cross Abstract: Large language models serve applications with diverse inference budgets, but training and maintaining separate models for each budget incurs substantial costs. Recent Looped Transformers enable flexible inference computation throu…

本文如何被排名

报道来源 [1]

手风琴：通过固定前缀层循环实现弹性深度推理

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