想提升自己和团队信息辨别力的读者值得关注——LFTutor 把 LLM 从信息污染源变成了教育工具，用苏格拉底式提问教普通人识别逻辑谬误，比单纯看科普文章更有效。
LFTutor 是一个基于大语言模型的智能辅导系统，旨在帮助普通人学习识别日常对话中的逻辑谬误，从而对抗虚假信息。该系统结合了意图驱动的苏格拉底式提问和批判性论证原则，主动引导学习者反思自己的推理过程。自动评估和人工评估均显示，LFTutor 在教授逻辑谬误方面显著优于未采用这些教学策略的基线 LLM。这项工作展示了将 LLM 与教学支架相结合以培养 AI 时代批判性思维和论证素养的潜力。
Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
Identifying logical fallacies in everyday discourse is challenging for many people. This challenge is amplified in the era of Large Language Models (LLMs), where malicious agents can deploy fallacious arguments to disseminate misinformation at scale. In this work, we explore the potential of LLMs as part of the solution. We introduce LFTutor, an intelligent tutoring system which uses LLMs to tutor laypeople and help them learn about logical fallacies. LFTutor integrates intent-driven Socratic questioning and critical argumentation principles to actively engage learners to reflect on their reasoning. Through both automatic and human evaluations, we demonstrate that LFTutor significantly outperforms baseline LLMs lacking these pedagogical strategies. This work highlights the promise of combining LLMs with pedagogical scaffolding to foster critical thinking and argument literacy in the age of AI.