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Updated: Sep 19, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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揭示大型语言模型在字符和单词理解和操纵方面的弱点

Yidan Zhang, Zhenan He, Gary G Yen

    IEEE transactions on neural networks and learning systems
    |June 18, 2025
    PubMed
    概括

    大型语言模型 (LLM) 在许多NLP任务中表现出色,但在基本的字符和文字编辑方面失败. 一个新的基准,CWUM,揭示了LLM的弱点,尽管监督微调 (SFT) 显示了改善的希望.

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