评估推理大语言模型的谣言生成,检测和揭穿任务

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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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Yejinxuan Hu1, Xianyun Tian1

  • 1College of Management Science, Chengdu University of Technology, Chengdu, Sichuan 610059, China.

iScience
|October 28, 2025
PubMed
概括

能够推理的大型语言模型 (RLLMs) 可以产生谣言,并与检测作斗争. 他们的揭穿努力显示部分准确性,但也有矛盾和糟糕的可读性,构成安全风险.

关键词:
人工智能的人工智能是人工智能.计算机科学 计算机科学研究方法研究方法社会科学社会科学社会科学 社会科学 社会科学

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