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Large Language Models (LLMs) have demonstrated remarkable abilities in text comprehension and logical reasoning, indicating that the text representations learned by LLMs can facilitate their language processing capabilities. In…

Artificial Intelligence · Computer Science 2025-01-16 Yuqi Ren , Renren Jin , Tongxuan Zhang , Deyi Xiong

Recent advancements in Large Language Models (LLMs) have led to their adaptation in various domains as conversational agents. We wonder: can personality tests be applied to these agents to analyze their behavior, similar to humans? We…

Transformer-based language models (LMs) continue to advance state-of-the-art performance on NLP benchmark tasks, including tasks designed to mimic human-inspired "commonsense" competencies. To better understand the degree to which LMs can…

Computation and Language · Computer Science 2021-06-15 Antonio Laverghetta , Animesh Nighojkar , Jamshidbek Mirzakhalov , John Licato

Knowing how test takers answer items in educational assessments is essential for test development, to evaluate item quality, and to improve test validity. However, this process usually requires extensive pilot studies with human…

Computation and Language · Computer Science 2025-06-12 Andreas Säuberli , Diego Frassinelli , Barbara Plank

Large Language Models (LLMs) such as ChatGPT have shown remarkable abilities in producing human-like text. However, it is unclear how accurately these models internalize concepts that shape human thought and behavior. Here, we developed a…

Machine Learning · Computer Science 2025-07-01 Hiro Taiyo Hamada , Ippei Fujisawa , Genji Kawakita , Yuki Yamada

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…

Computation and Language · Computer Science 2024-04-03 Hang Jiang , Xiajie Zhang , Xubo Cao , Cynthia Breazeal , Deb Roy , Jad Kabbara

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…

Artificial Intelligence · Computer Science 2025-01-07 Bojana Bodroza , Bojana M. Dinic , Ljubisa Bojic

Large Language Models (LLMs) are increasingly being utilized by both candidates and employers in the recruitment context. However, with this comes numerous ethical concerns, particularly related to the lack of transparency in these…

Computation and Language · Computer Science 2024-02-16 Airlie Hilliard , Cristian Munoz , Zekun Wu , Adriano Soares Koshiyama

Have Large Language Models (LLMs) developed a personality? The short answer is a resounding "We Don't Know!". In this paper, we show that we do not yet have the right tools to measure personality in language models. Personality is an…

Computation and Language · Computer Science 2023-05-25 Xiaoyang Song , Akshat Gupta , Kiyan Mohebbizadeh , Shujie Hu , Anant Singh

Large Language Models (LLMs) especially ChatGPT have produced impressive results in various areas, but their potential human-like psychology is still largely unexplored. Existing works study the virtual personalities of LLMs but rarely…

Computation and Language · Computer Science 2023-10-16 Haocong Rao , Cyril Leung , Chunyan Miao

Transformer-based language models (LMs) continue to achieve state-of-the-art performance on natural language processing (NLP) benchmarks, including tasks designed to mimic human-inspired "commonsense" competencies. To better understand the…

Computation and Language · Computer Science 2022-05-13 Antonio Laverghetta , Animesh Nighojkar , Jamshidbek Mirzakhalov , John Licato

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…

Artificial Intelligence · Computer Science 2024-11-25 Aadesh Salecha , Molly E. Ireland , Shashanka Subrahmanya , João Sedoc , Lyle H. Ungar , Johannes C. Eichstaedt

As large language models (LLM) evolve in their capabilities, various recent studies have tried to quantify their behavior using psychological tools created to study human behavior. One such example is the measurement of "personality" of…

Computation and Language · Computer Science 2024-01-04 Akshat Gupta , Xiaoyang Song , Gopala Anumanchipalli

The advancement of large language models (LLMs) has outpaced traditional evaluation methodologies. This progress presents novel challenges, such as measuring human-like psychological constructs, moving beyond static and task-specific…

Computation and Language · Computer Science 2026-03-12 Haoran Ye , Jing Jin , Yuhang Xie , Xin Zhang , Guojie Song

Psychological constructs within individuals are widely believed to be interconnected. We investigated whether and how Large Language Models (LLMs) can model the correlational structure of human psychological traits from minimal quantitative…

Artificial Intelligence · Computer Science 2026-03-24 Yi-Fei Liu , Yi-Long Lu , Di He , Hang Zhang

Adult neurodivergence, including Attention-Deficit/Hyperactivity Disorder (ADHD), high-functioning Autism Spectrum Disorder (ASD), and Cognitive Disengagement Syndrome (CDS), is marked by substantial symptom overlap that limits the…

Neurons and Cognition · Quantitative Biology 2026-01-23 Francesco Chiappone , Davide Marocco , Nicola Milano

The advancement of Large Language Models (LLMs) has led to their widespread use across a broad spectrum of tasks including decision making. Prior studies have compared the decision making abilities of LLMs with those of humans from a…

Computation and Language · Computer Science 2024-01-01 Manikanta Loya , Divya Anand Sinha , Richard Futrell

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…

Computation and Language · Computer Science 2026-02-19 Andrius Matšenas , Anet Lello , Tõnis Lees , Hans Peep , Kim Lilii Tamm

Emotional intelligence significantly impacts our daily behaviors and interactions. Although Large Language Models (LLMs) are increasingly viewed as a stride toward artificial general intelligence, exhibiting impressive performance in…

Computation and Language · Computer Science 2023-11-14 Cheng Li , Jindong Wang , Yixuan Zhang , Kaijie Zhu , Wenxin Hou , Jianxun Lian , Fang Luo , Qiang Yang , Xing Xie

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…

Computation and Language · Computer Science 2025-06-23 Ziyan Cui , Ning Li , Huaikang Zhou