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相关论文: Limited Ability of LLMs to Simulate Human Psycholo…

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Psychological profiling of large language models (LLMs) using psychometric questionnaires designed for humans has become widespread. However, it remains unclear whether the resulting profiles mirror the models' psychological characteristics…

计算与语言 · 计算机科学 2026-04-06 Woojung Song , Dongmin Choi , Yoonah Park , Jongwook Han , Yohan Jo

Large Language Models (LLMs) have demonstrated exceptional capabilities in solving various tasks, progressively evolving into general-purpose assistants. The increasing integration of LLMs into society has sparked interest in whether they…

计算与语言 · 计算机科学 2025-10-20 Yuan Li , Yue Huang , Hongyi Wang , Ying Cheng , Xiangliang Zhang , James Zou , Lichao Sun

Recent research has focused on examining Large Language Models' (LLMs) characteristics from a psychological standpoint, acknowledging the necessity of understanding their behavioral characteristics. The administration of personality tests…

计算与语言 · 计算机科学 2024-10-07 Jen-tse Huang , Wenxiang Jiao , Man Ho Lam , Eric John Li , Wenxuan Wang , Michael R. Lyu

As large language models (LLMs) are increasingly used in human-centered tasks, assessing their psychological traits is crucial for understanding their social impact and ensuring trustworthy AI alignment. While existing reviews have covered…

Large Language Models (LLMs) such as OpenAI's GPT-4 and Meta's LLaMA offer a promising approach for scalable personality assessment from open-ended language. However, inferring personality traits remains challenging, and earlier work often…

计算与语言 · 计算机科学 2025-07-22 Jianfeng Zhu , Ruoming Jin , Karin G. Coifman

The immense number of parameters and deep neural networks make large language models (LLMs) rival the complexity of human brains, which also makes them opaque ``black box'' systems that are challenging to evaluate and interpret. AI…

人工智能 · 计算机科学 2026-03-16 Yibai Li , Xiaolin Lin , Zhenghui Sha , Zhiye Jin , Xiaobing Li

With large language models (LLMs) like GPT-4 appearing to behave increasingly human-like in text-based interactions, it has become popular to attempt to evaluate personality traits of LLMs using questionnaires originally developed for…

计算与语言 · 计算机科学 2024-06-06 Tom Sühr , Florian E. Dorner , Samira Samadi , Augustin Kelava

Despite the many use cases for large language models (LLMs) in creating personalized chatbots, there has been limited research on evaluating the extent to which the behaviors of personalized LLMs accurately and consistently reflect specific…

计算与语言 · 计算机科学 2024-04-03 Hang Jiang , Xiajie Zhang , Xubo Cao , Cynthia Breazeal , Deb Roy , Jad Kabbara

This study validates Large Language Models (LLMs) as a dynamic alternative to questionnaire-based personality assessment. Using a within-subjects experiment (N=33), we compared Big Five personality scores derived from guided LLM…

计算与语言 · 计算机科学 2026-02-19 Andrius Matšenas , Anet Lello , Tõnis Lees , Hans Peep , Kim Lilii Tamm

Large Language Models (LLMs) have demonstrated human-like capabilities in language comprehension and generation, becoming active participants in social and cognitive domains. This study investigates whether LLMs exhibit personality-like…

计算与语言 · 计算机科学 2025-05-22 Wang Jiaqi , Wang bo , Guo fa , Cheng cheng , Yang li

Large language models (LLMs) increasingly reach real-world applications, necessitating a better understanding of their behaviour. Their size and complexity complicate traditional assessment methods, causing the emergence of alternative…

人工智能 · 计算机科学 2025-05-13 Sanne Peereboom , Inga Schwabe , Bennett Kleinberg

Large Language Models (LLMs),such as ChatGPT, are increasingly used in research, ranging from simple writing assistance to complex data annotation tasks. Recently, some research has suggested that LLMs may even be able to simulate human…

人工智能 · 计算机科学 2025-08-14 Sarah Schröder , Thekla Morgenroth , Ulrike Kuhl , Valerie Vaquet , Benjamin Paaßen

This paper explores the potential of large language models (LLMs) as reliable analytical tools in linguistic research, focusing on the emergence of affective meanings in temporal expressions involving manner-of-motion verbs. While LLMs like…

计算与语言 · 计算机科学 2025-07-15 Rosa Illan Castillo , Javier Valenzuela

As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using Big Five personality surveys and uncovered a previously…

The advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant human-like text. As LLMs increasingly powerconversational agents used by the general…

Large language models (LLMs) are increasingly used to simulate human behavior in social settings such as legal mediation, negotiation, and dispute resolution. However, it remains unclear whether these simulations reproduce the…

人工智能 · 计算机科学 2026-02-10 Deuksin Kwon , Kaleen Shrestha , Bin Han , Spencer Lin , James Hale , Jonathan Gratch , Maja Matarić , Gale M. Lucas

Generative AI models garnered a large amount of public attention and speculation with the release of OpenAIs chatbot, ChatGPT. At least two opinion camps exist: one excited about possibilities these models offer for fundamental changes to…

人工智能 · 计算机科学 2024-06-28 Ann Speed

Artificial Intelligence (AI) is increasingly being integrated into scientific research, particularly in the social sciences, where understanding human behavior is critical. Large Language Models (LLMs) have shown promise in replicating…

计算与语言 · 计算机科学 2025-06-23 Ziyan Cui , Ning Li , Huaikang Zhou

As Large Language Models (LLMs) continue to gain popularity due to their human-like traits and the intimacy they offer to users, their societal impact inevitably expands. This leads to the rising necessity for comprehensive studies to fully…

人工智能 · 计算机科学 2025-01-07 Bojana Bodroza , Bojana M. Dinic , Ljubisa Bojic

The rapid evolution of large language models (LLMs) and their capacity to simulate human cognition and behavior has given rise to LLM-based frameworks and tools that are evaluated and applied based on their ability to perform tasks…

计算与语言 · 计算机科学 2024-12-03 Jing Yi Wang , Nicholas Sukiennik , Tong Li , Weikang Su , Qianyue Hao , Jingbo Xu , Zihan Huang , Fengli Xu , Yong Li
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