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Updated: Jun 13, 2025

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大型语言模型在识别神经神经病菌方面表现优于人类,但在应用环境中表现出迷信行为

Eileen Richter1, Markus Wolfgang Hermann Spitzer1, Annabelle Morgan2

  • 1Department of Psychology, Martin-Luther University Halle-Wittenberg, Halle, Germany.

Trends in neuroscience and education
|June 11, 2025
PubMed
概括

大型语言模型 (LLM) 可以在简单的陈述中比人类更好地识别神经病菌,但在复杂的问题上却很难. 促使法学士纠正未经证实的假设,提高了他们在教育环境中标记误解的能力.

关键词:
人与计算机的互动人类智能 人类智能大型语言模型.脑神经病发病 - 神经病发病这种行为是Sycophantic行为.教学教学 在教学教学.

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