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Updated: May 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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基准测试Hook and Bait乌尔都语新闻数据集用于使用大型语言模型检测域位和多语言假新闻

Sheetal Harris1, Jinshuo Liu2, Hassan Jalil Hadi3

  • 1School of Cyber Science and Engineering, Wuhan University, Wuhan, China.

Scientific reports
|May 3, 2025
PubMed
概括

这项研究引入了一个新的乌尔都语数据集,并使用大型语言模型 (LLM) 来有效地检测乌尔都语和英语的假新闻 (FND). 该方法实现了高精度,为资源较少的语言提供了解决方案.

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