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Updated: Jun 15, 2025

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一个基于真实性传播的一致性的一些射击假新闻检测框架,通过协同对抗和对比的自我监督学习

Weiqiang Jin1,2, Ningwei Wang1, Tao Tao3

  • 1School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China.

Scientific reports
|August 22, 2024
PubMed
概括

本研究介绍了DetectYSF,这是一种用于虚假新闻检测的新框架,在低数据场景中表现出色. 它结合了自我监督的对比和半监督的对抗学习,以提高有限的标记数据的准确性.

关键词:
对抗式学习是一种对抗式的学习.相反的学习学习.几次拍摄的虚假新闻检测检测.基于LM的伪提示符调整.新闻真实性传播的一致性新闻真实性

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