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Updated: May 1, 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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ViSQA:一个基准数据集和基线模型,用于回答越南语口语问题

Le Trong Minh1,2, Nguyen Duc Thinh2, Nguyen Khanh Tho Loc1,2

  • 1VNU University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam.

PloS one
|January 12, 2026
PubMed
概括

这项研究介绍了ViSQA,这是越南语口语问答的新基准. 它显示自动语音识别错误显著影响性能,但对口语数据的训练提高了稳定性.

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