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Updated: Jan 8, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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在位向量和字符串上的工程排名查询

Simon Gene Gottlieb1, Knut Reinert2,3

  • 1Informatik & Mathematik, Freie Universität Berlin, Takustraße 9, 14195, Berlin, Germany. s.gottlieb@fu-berlin.de.

Algorithms for molecular biology : AMB
|December 11, 2025
PubMed
概括

本研究介绍了BWT数据结构的排名支持的三个优化,这对于基因组数据分析至关重要. 这些改进提高了FM-Index的空间效率和查询速度,使基因组数据处理更快,更容易获得.

关键词:
位向量是一个位向量.在FM指数中,FMI指数是排名支持 排名支持这是一个SIMD SIMD.一个字符串串.

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