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In this work, we designed unbiased prompts to systematically evaluate the psychological safety of large language models (LLMs). First, we tested five different LLMs by using two personality tests: Short Dark Triad (SD-3) and Big Five…

Computation and Language · Computer Science 2024-03-01 Xingxuan Li , Yutong Li , Lin Qiu , Shafiq Joty , Lidong Bing

Large language models (LLMs) make it possible to generate synthetic behavioural data at scale, offering an ethical and low-cost alternative to human experiments. Whether such data can faithfully capture psychological differences driven by…

Computation and Language · Computer Science 2025-11-27 Manuel Pratelli , Marinella Petrocchi

Large Language Models (LLMs) are often misleadingly recognized as having a personality or a set of values. We argue that an LLM can be seen as a superposition of perspectives with different values and personality traits. LLMs exhibit…

Computation and Language · Computer Science 2023-11-08 Grgur Kovač , Masataka Sawayama , Rémy Portelas , Cédric Colas , Peter Ford Dominey , Pierre-Yves Oudeyer

Recent advances in large language models (LLMs) demonstrate their potential as educational tutors. However, different tutoring strategies benefit different student personalities, and mismatches can be counterproductive to student outcomes.…

Computation and Language · Computer Science 2026-01-14 Donya Rooein , Sankalan Pal Chowdhury , Mariia Eremeeva , Yuan Qin , Debora Nozza , Mrinmaya Sachan , Dirk Hovy

Powered by large language models (LLMs), AI agents have become capable of many human tasks. Using the most canonical definitions of the Big Five personality, we measure the ability of LLMs to negotiate within a game-theoretical framework,…

Computation and Language · Computer Science 2024-05-10 Sean Noh , Ho-Chun Herbert Chang

Collaborative problem solving and learning are shaped by who or what is on the team. As large language models (LLMs) increasingly function as collaborators rather than tools, a key question is whether AI teammates can be aligned to express…

Human-Computer Interaction · Computer Science 2026-03-03 Mohammad Amin Samadi , Nia Nixon

Personalized Large Language Models (LLMs) have been shown to be an effective way to create more engaging and enjoyable user-AI interactions. While previous studies have explored using prompts to elicit specific personality traits in LLMs,…

Computation and Language · Computer Science 2025-11-26 Shi-Wei Dai , Yan-Wei Shie , Tsung-Huan Yang , Lun-Wei Ku , Yung-Hui Li

Psychological evidence reveals the influence of personality traits on decision-making. For instance, agreeableness is generally associated with positive outcomes in negotiations, whereas neuroticism is often linked to less favorable…

Computation and Language · Computer Science 2024-11-05 Yin Jou Huang , Rafik Hadfi

Imbuing Large Language Models (LLMs) with specific personas is prevalent for tailoring interaction styles, yet the impact on underlying cognitive capabilities remains unexplored. We employ the Neuron-based Personality Trait Induction (NPTI)…

Computation and Language · Computer Science 2026-05-13 Jiaqi Chen , Ming Wang , Tingna Xie , Shi Feng , Yongkang Liu

Personality detection aims to measure an individual's corresponding personality traits through their social media posts. The advancements in Large Language Models (LLMs) offer novel perspectives for personality detection tasks. Existing…

Computation and Language · Computer Science 2026-01-27 Yuan Cao , Feixiang Liu , Xinyue Wang , Yihan Zhu , Hui Xu , Zheng Wang , Qiang Qiu

The field of large language models (LLMs) has grown rapidly in recent years, driven by the desire for better efficiency, interpretability, and safe use. Building on the novel approach of "activation engineering," this study explores…

Computation and Language · Computer Science 2025-08-26 Rumi Allbert , James K. Wiles , Vlad Grankovsky

Personality is a crucial factor that shapes human communication patterns, thereby regulating the personalities of large language models (LLMs) holds significant potential in enhancing their user experiences. Previous approaches either…

Computation and Language · Computer Science 2025-09-10 Tianlong Li , Wenhao Liu , Muling Wu , Shihan Dou , Zhenghua Wang , Changze Lv , Xiaohua Wang , Xiaoqing Zheng , Xuanjing Huang

We investigate whether Large Language Models (LLMs) exhibit human-like cognitive patterns under four established frameworks from psychology: Thematic Apperception Test (TAT), Framing Bias, Moral Foundations Theory (MFT), and Cognitive…

Artificial Intelligence · Computer Science 2025-12-12 Akash Kundu , Rishika Goswami

Can large language models reliably express a human-like personality, or are they merely mimicking surface cues without a stable underlying profile? To investigate this, we induce personality in LLMs by fine-tuning them on the long-form…

Computation and Language · Computer Science 2026-05-19 Prateek Rajput , Yewei Song , Iyiola E. Olatunji , Jacques Klein , Tegawendé F. Bissyandé

This paper introduces an innovative task focused on editing the personality traits of Large Language Models (LLMs). This task seeks to adjust the models' responses to opinion-related questions on specified topics since an individual's…

Computation and Language · Computer Science 2024-09-04 Shengyu Mao , Xiaohan Wang , Mengru Wang , Yong Jiang , Pengjun Xie , Fei Huang , Ningyu Zhang

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

As large language models (LLMs) appear to behave increasingly human-like in text-based interactions, more and more researchers become interested in investigating personality in LLMs. However, the diversity of psychological personality…

Computation and Language · Computer Science 2024-06-26 Zhiyuan Wen , Yu Yang , Jiannong Cao , Haoming Sun , Ruosong Yang , Shuaiqi Liu

Personality psychologists have analyzed the relationship between personality and safety behaviors in human society. Although Large Language Models (LLMs) demonstrate personality traits, the relationship between personality traits and safety…

Computation and Language · Computer Science 2024-07-18 Jie Zhang , Dongrui Liu , Chen Qian , Ziyue Gan , Yong Liu , Yu Qiao , Jing Shao

Large language models (LLMs) have gained significant traction across a wide range of fields in recent years. There is also a growing expectation for them to display human-like personalities during interactions. To meet this expectation,…

Computation and Language · Computer Science 2026-01-14 Adithya Chittem , Aishna Shrivastava , Sai Tarun Pendela , Jagat Sesh Challa , Dhruv Kumar

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…

Artificial Intelligence · Computer Science 2026-02-10 Deuksin Kwon , Kaleen Shrestha , Bin Han , Spencer Lin , James Hale , Jonathan Gratch , Maja Matarić , Gale M. Lucas