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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

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…

The language generation and reasoning capabilities of large language models (LLMs) have enabled conversational systems with impressive performance in a variety of tasks, from code generation, to composing essays, to passing STEM and legal…

Artificial Intelligence · Computer Science 2025-02-28 Konstantina Christakopoulou , Iris Qu , John Canny , Andrew Goodridge , Cj Adams , Minmin Chen , Maja Matarić

Large Language Models (LLMs) demonstrate a notable capacity for adopting personas and engaging in role-playing. However, evaluating this ability presents significant challenges, as human assessments are resource-intensive and automated…

Computation and Language · Computer Science 2025-05-20 Yassine El Boudouri , Walter Nuninger , Julian Alvarez , Yvan Peter

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…

Computation and Language · Computer Science 2024-10-07 Jen-tse Huang , Wenxiang Jiao , Man Ho Lam , Eric John Li , Wenxuan Wang , Michael R. Lyu

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

Psychological assessment tools have long helped humans understand behavioural patterns. While Large Language Models (LLMs) can generate content comparable to that of humans, we explore whether they exhibit personality traits. To this end,…

Computation and Language · Computer Science 2025-02-11 Pranav Bhandari , Usman Naseem , Amitava Datta , Nicolas Fay , Mehwish Nasim

This paper investigates the utilization of Large Language Models (LLMs) for solving complex linguistic puzzles, a domain requiring advanced reasoning and adept translation capabilities akin to human cognitive processes. We explore specific…

Computation and Language · Computer Science 2025-02-04 Zheng-Lin Lin , Yu-Fei Shih , Shu-Kai Hsieh

Can emergent language models faithfully model the intelligence of decision-making agents? Though modern language models exhibit already some reasoning ability, and theoretically can potentially express any probable distribution over tokens,…

Machine Learning · Computer Science 2024-06-27 Wenhao Lu , Xufeng Zhao , Josua Spisak , Jae Hee Lee , Stefan Wermter

Large Language Models (LLMs) are increasingly shaping human-computer interaction (HCI), from personalized assistants to social simulations. Beyond language competence, researchers are exploring whether LLMs can exhibit human-like…

Artificial Intelligence · Computer Science 2026-01-16 Jinpeng Wang , Xinyu Jia , Wei Wei Heng , Yuquan Li , Binbin Shi , Qianlei Chen , Guannan Chen , Junxia Zhang , Yuyu Yin

Reliable simulation of human behavior is essential for explaining, predicting, and intervening in our society. Recent advances in large language models (LLMs) have shown promise in emulating human behaviors, interactions, and…

Computation and Language · Computer Science 2025-10-27 Ning Bian , Xianpei Han , Hongyu Lin , Baolei Wu , Jun Wang

Training agents to act competently in complex 3D environments from high-dimensional visual information is challenging. Reinforcement learning is conventionally used to train such agents, but requires a carefully designed reward function,…

Machine Learning · Computer Science 2025-12-30 Adam Jelley , Yuhan Cao , Dave Bignell , Amos Storkey , Sam Devlin , Tabish Rashid

Large language models (LLMs) increasingly serve as human-like decision-making agents in social science and applied settings. These LLM-agents are typically assigned human-like characters and placed in real-life contexts. However, how these…

Artificial Intelligence · Computer Science 2025-12-24 Ji Ma

Humans increasingly rely on large language models (LLMs) to support decisions in social settings. Previous work suggests that such tools shape people's moral and political judgements. However, the long-term implications of LLM-based social…

Physics and Society · Physics 2025-07-02 Alexandre S. Pires , Laurens Samson , Sennay Ghebreab , Fernando P. Santos

Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These models have become popular in artificial intelligence (AI)…

World model emerges as a key module in decision making, where MuZero and Dreamer achieve remarkable successes in complex tasks. Recent work leverages Large Language Models (LLMs) as general world simulators to simulate the dynamics of the…

Artificial Intelligence · Computer Science 2026-03-20 Chang Yang , Xinrun Wang , Junzhe Jiang , Qinggang Zhang , Xiao Huang

The ongoing revolution in language modeling has led to various novel applications, some of which rely on the emerging social abilities of large language models (LLMs). Already, many turn to the new cyber friends for advice during the…

Computers and Society · Computer Science 2025-08-05 Ivan Zakazov , Mikolaj Boronski , Lorenzo Drudi , Robert West

Large Language Models (LLMs) have been increasingly used in real-world settings, yet their strategic decision-making abilities remain largely unexplored. To fully benefit from the potential of LLMs, it's essential to understand their…

Artificial Intelligence · Computer Science 2024-10-16 Nathan Herr , Fernando Acero , Roberta Raileanu , María Pérez-Ortiz , Zhibin Li

Creating human-like large language model (LLM) agents is crucial for faithful social simulation. Having LLMs role-play based on demographic information sometimes improves human likeness but often does not. This study assessed whether LLM…

Computation and Language · Computer Science 2024-10-17 Yun-Shiuan Chuang , Krirk Nirunwiroj , Zach Studdiford , Agam Goyal , Vincent V. Frigo , Sijia Yang , Dhavan Shah , Junjie Hu , Timothy T. Rogers

Research on emergent patterns in Large Language Models (LLMs) has gained significant traction in both psychology and artificial intelligence, motivating the need for a comprehensive review that offers a synthesis of this complex landscape.…

Computation and Language · Computer Science 2024-12-23 Zhisheng Tang , Mayank Kejriwal