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STATIC:面向LLM生成式检索的高效约束解码

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2026年10月8日,研究者在 arXiv(Information Retrieval)发表论文,提出 STATIC(Sparse Transition Matrix-Accelerated Trie Index for Constrained Decoding)。该方法面向加速器上的 LLM 生成式检索场景,将前缀树压平为静态 CSR 矩阵,从而把不规则的树遍历转化为全向量化的稀疏矩阵运算,在 TPU 与 GPU 上实现高效约束解码。目前公开信息仅涉及该方法的核心思路与目标硬件,尚未见实验数据或第三方复现结果。

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Oct 8, 2026
  1. arXiv · Information Retrieval
    STATIC:面向加速器上 LLM 生成式检索的高效约束解码

    研究者提出 STATIC(Sparse Transition Matrix-Accelerated Trie Index for Constrained Decoding),把前缀树压平为静态 CSR 矩阵,将不规则树遍历转为全向量化稀疏矩阵运算,在 TPU/GPU 上实现高效约束解码。

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