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Updated: Jun 24, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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在LZ-end解析中对上限和线性空间查询进行上限和线性空间查询

Dominik Kempa1, Barna Saha2

  • 1Johns Hopkins University.

Proceedings of the ... Annual ACM-SIAM Symposium on Discrete Algorithms. ACM-SIAM Symposium on Discrete Algorithms
|June 4, 2024
PubMed
概括

这项研究确定了LZ-End压缩的第一个非微不足道的上限,证明了其相对于Lempel-Ziv (LZ77) 压缩的效率. 一个新的数据结构还可以在LZ-End压缩数据上实现高效的随机访问和最长常见扩展查询.

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