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相关概念视频

Language and Cognition01:27

Language and Cognition

338
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
338
Stereotype Content Model02:16

Stereotype Content Model

14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
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Language Development01:22

Language Development

329
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
329

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相关实验视频

Updated: Jun 15, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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在使用LLM作为人体代孕时要小心.

Yuan Gao1, Dokyun Lee1,2, Gordon Burtch1

  • 1Department of Information Systems, Questrom School of Business, Boston University, Boston, MA 02215.

Proceedings of the National Academy of Sciences of the United States of America
|June 13, 2025
PubMed
概括
此摘要是机器生成的。

大型语言模型 (LLM) 是有前途的,但在社会科学研究中难以复制人类行为. 它们的概率性质,与人类认知不同,限制了它们作为人类参与者的可靠替代品的使用.

关键词:
作为一个模拟的LLMs.作为人类替代品的LLM.在社会科学研究中的LLMs.人类行为的模拟.

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科学领域:

  • 人工智能的人工智能
  • 社会科学 社会科学 社会科学
  • 计算社会科学 计算社会科学

背景情况:

  • 大型语言模型 (LLM) 展示了类似人类的文本生成能力.
  • 在社会科学研究中,LLM越来越多地被提议作为人类参与者的替代品.
  • 在LLM处理和人类认知之间存在根本的差异,包括体现的经验和生存驱动器.

研究的目的:

  • 评估LLM在社会科学研究中模拟人类行为的能力.
  • 评估LLM在经济决策任务中的推理深度.
  • 在使用LLM作为人类替代品时识别限制和潜在偏见.

主要方法:

  • 利用11-20金钱请求游戏来测试LLM的推理.
  • 与已建立的人类行为分布对比LLM响应.
  • 分析了各种先进的LLM方法及其在不同模型中的表现.

主要成果:

  • 大多数先进的LLM方法都无法准确地复制人类行为分布.
  • 故障模式是多样化和不可预测的,受输入语言和模型保护等因素的影响.
  • 在LLM输出和人类决策模式之间观察到显著的差异.

结论:

  • 尽管LLM的反应与人类相似,但由于基本的认知差异,LLM不能可靠地模拟人类行为.
  • 建议在使用LLM作为替代品或在研究中模拟人类行为时谨慎使用.
  • 需要进一步的研究来理解和减轻社会科学应用中的LLM限制.