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Updated: Jan 18, 2026

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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通过大型语言模型进行细粒度实体识别

Xue Qiao, Shuang Gu, Jiayuan Cheng

    IEEE transactions on neural networks and learning systems
    |June 5, 2025
    PubMed
    概括

    本研究介绍了FGER-GPT,这是一种用于细粒度实体识别 (FGER) 的新方法,可以克服数据稀缺性. 它有效地利用大型语言模型 (LLM),而不需要标记数据,在低资源环境中提高性能.

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