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Unverified50% confidenceFactExact time

Mamba状态空间模型由Albert Gu和Tri Dao于2023年提出，推理时计算复杂度和显存占用均为O(1)

1

Sources

50%

Confidence

Long-term

Relevance

7/10/2026

First Seen

Sources

GPT-5.6曝光：Agent编程token效率提升54%意味着什么

hackernewshackernews7/9/2026

Related Claims

VerifiedMamba 等基于状态空间模型（SSM）的架构以线性复杂度实现序列建模，更适合实时推理71% similar Unverified2023年Gu和Dao提出Mamba，引入输入依赖的选择性机制（selective scan），在保持线性时间复杂度的同时获得与Transformer相当甚至更优的语言建模性能68% similar VerifiedMamba等状态空间模型（SSM）抛弃注意力机制，用循环结构实现线性时间复杂度的序列建模64% similar Unverified2021年Albert Gu等人提出S4（Structured State Spaces for Sequence Modeling），通过HiPPO初始化和高效对角化计算使经典框架能处理长达数万步的序列依赖64% similar Unverified2024年以来Mamba2进一步统一了状态空间模型与注意力机制的理论框架，Jamba等混合架构将Mamba层与注意力层交错堆叠63% similar

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