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Updated: Jun 23, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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在线社交网络的数字克隆用于基于语言敏感代理的虚假信息传播模型

Prateek Puri1, Gabriel Hassler1, Sai Katragadda1

  • 1RAND Corporation, Santa Monica, California, United States of America.

PloS one
|June 21, 2024
PubMed
概括

我们创建了一个社交网络的数字克隆,以模拟错误信息的传播. 这种基于代理的模型,使用自然语言处理,准确地反映了现实世界的信息共享,用于测试对策.

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