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English(EN) Artificial entrepreneurial cognition: Locating and causally steering an opportunity recognition dial inside large language models (LLMs)

新研究探索大语言模型中的“人工智能创业认知”

研究人员引入了“人工智能创业认知”的概念,以研究大语言模型(LLMs)如何处理创业信息。通过关注机会识别,他们开发了一种方法来识别和操纵大语言模型内部一个特定的内部表征,称为“机会识别拨盘”。这种干预证明了模型内部状态与其对创业机会判断之间的因果关系,这一发现适用于各种大语言模型。 AI

影响 为理解和操纵AI对创业等复杂认知构建的内部表征建立了一个新框架。

排序理由 该集群包含一篇详细介绍新研究概念和方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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新研究探索大语言模型中的“人工智能创业认知”

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该集群包含一篇详细介绍新研究概念和方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Christian Fisch, Angela Altmeier, Martin Obschonka, Michal Kosinski, Pin Ni ·

    人工智能创业认知:在大语言模型(LLMs)中定位并因果性地引导机会识别旋钮

    arXiv:2609.15277v1 Announce Type: new Abstract: Entrepreneurial cognition is a foundation of entrepreneurship research. Yet the growing involvement of large language models (LLMs) in entrepreneurial work extends the cognition question beyond human actors to systems whose internal…