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Updated: Jun 5, 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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从理解和生成预训练的语言模型构建中国分类树

Jianyu Guo1, Jingnan Chen1, Li Ren1

  • 1University of Electronic Science and Technology of China, ChengDu, Sichuan, China.

PeerJ. Computer science
|December 9, 2024
PubMed
概括

这项研究介绍了中国超关系推理模型 (CHRRM),用于构建中国超分类树. 它通过优化BERT模型和使用生成的大型语言模型来提高准确性,实现了15.67%的性能提升.

关键词:
生成型的大型语言模型超的分类学树 超的分类学树预先训练有素的语言模型

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