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Large Language Models (LLMs) are increasingly used in everyday life and research. One of the most common use cases is conversational interactions, enabled by the language generation capabilities of LLMs. Just as between two humans, a…

Computation and Language · Computer Science 2024-11-12 Jingyao Zheng , Xian Wang , Simo Hosio , Xiaoxian Xu , Lik-Hang Lee

Logical reasoning consistently plays a fundamental and significant role in the domains of knowledge engineering and artificial intelligence. Recently, Large Language Models (LLMs) have emerged as a noteworthy innovation in natural language…

Computation and Language · Computer Science 2024-09-17 Fangzhi Xu , Qika Lin , Jiawei Han , Tianzhe Zhao , Jun Liu , Erik Cambria

Large Language Models (LLMs) are demonstrating remarkable human like capabilities across diverse domains, including psychological assessment. This study evaluates whether LLMs, specifically GPT-4o and GPT-4o mini, can infer Big Five…

Computation and Language · Computer Science 2025-01-14 Jianfeng Zhu , Ruoming Jin , Karin G. Coifman

This study explores how the Large Language Models (LLMs) adjust linguistic features to create personalized persuasive outputs. While research showed that LLMs personalize outputs, a gap remains in understanding the linguistic features of…

We present Big5-Scaler, a prompt-based framework for conditioning large language models (LLMs) with controllable Big Five personality traits. By embedding numeric trait values into natural language prompts, our method enables fine-grained…

Computation and Language · Computer Science 2025-08-11 Gunhee Cho , Yun-Gyung Cheong

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

We employ a Large Language Model (LLM) to convert unstructured psychological interviews into structured questionnaires spanning various psychiatric and personality domains. The LLM is prompted to answer these questionnaires by impersonating…

Computation and Language · Computer Science 2024-06-12 Gony Rosenman , Lior Wolf , Talma Hendler

As Large Language Models (LLMs) become integral to human-centered applications, understanding their personality-like behaviors is increasingly important for responsible development and deployment. This paper systematically evaluates six…

Computation and Language · Computer Science 2025-11-07 Christos-Nikolaos Zacharopoulos , Revekka Kyriakoglou

People acquire concepts through rich physical and social experiences and use them to understand and navigate the world. In contrast, large language models (LLMs), trained solely through next-token prediction on text, exhibit strikingly…

Computation and Language · Computer Science 2025-11-11 Ningyu Xu , Qi Zhang , Chao Du , Qiang Luo , Xipeng Qiu , Xuanjing Huang , Menghan Zhang

The humanlike responses of large language models (LLMs) have prompted social scientists to investigate whether LLMs can be used to simulate human participants in experiments, opinion polls and surveys. Of central interest in this line of…

Computation and Language · Computer Science 2024-05-14 Nikolay B Petrov , Gregory Serapio-García , Jason Rentfrow

Recent studies have shown that prompting can enable large language models (LLMs) to simulate specific personality traits and produce behaviors that align with those traits. However, there is limited understanding of how these simulated…

Computation and Language · Computer Science 2026-01-06 Nuo Chen , Hanpei Fang , Piaohong Wang , Jiqun Liu , Tetsuya Sakai , Xiao-Ming Wu

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

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…

Computation and Language · Computer Science 2024-06-06 Tom Sühr , Florian E. Dorner , Samira Samadi , Augustin Kelava

Human decision-making belongs to the foundation of our society and civilization, but we are on the verge of a future where much of it will be delegated to artificial intelligence. The arrival of Large Language Models (LLMs) has transformed…

Artificial Intelligence · Computer Science 2025-06-23 Hao Li , Gengrui Zhang , Petter Holme , Shuyue Hu , Zhen Wang

The emergence of unveiling human-like behaviors in Large Language Models (LLMs) has led to a closer connection between NLP and human psychology. Scholars have been studying the inherent personalities exhibited by LLMs and attempting to…

Artificial Intelligence · Computer Science 2025-03-25 Lucio La Cava , Andrea Tagarelli

Large Language Models (LLMs), originally developed for natural language processing (NLP), have demonstrated the potential to generalize across modalities and domains. With their in-context learning (ICL) capabilities, LLMs can perform…

Artificial Intelligence · Computer Science 2025-08-26 Nikolaos Pavlidis , Vasilis Perifanis , Symeon Symeonidis , Pavlos S. Efraimidis

Large language models (LLMs) are increasingly used to support the analysis of complex financial disclosures, yet their reliability, behavioral consistency, and transparency remain insufficiently understood in high-stakes settings. This…

Computation and Language · Computer Science 2026-01-21 Md Talha Mohsin

Large Language Models (LLMs) have demonstrated the ability to adopt a personality and behave in a human-like manner. There is a large body of research that investigates the behavioural impacts of personality in less obvious areas such as…

Statistical Finance · Quantitative Finance 2024-11-12 Harris Borman , Anna Leontjeva , Luiz Pizzato , Max Kun Jiang , Dan Jermyn

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

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