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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

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

Large language models interact with users through a simulated 'Assistant' persona. While the Assistant is typically trained to be helpful, harmless, and honest, it sometimes deviates from these ideals. In this paper, we identify directions…

Computation and Language · Computer Science 2025-09-08 Runjin Chen , Andy Arditi , Henry Sleight , Owain Evans , Jack Lindsey

This study proposes a framework that employs personality prompting with Large Language Models to generate verbal and nonverbal behaviors for virtual agents based on personality traits. Focusing on extraversion, we evaluated the system in…

Human-Computer Interaction · Computer Science 2025-09-01 Bin Han , Deuksin Kwon , Spencer Lin , Kaleen Shrestha , Jonathan Gratch

In computational cognitive modeling, capturing the full spectrum of human judgment and decision-making processes, beyond just optimal behaviors, is a significant challenge. This study explores whether Large Language Models (LLMs) can…

Artificial Intelligence · Computer Science 2025-02-24 Animesh Nighojkar , Bekhzodbek Moydinboyev , My Duong , John Licato

Aligning large language models (LLMs) typically aim to reflect general human values and behaviors, but they often fail to capture the unique characteristics and preferences of individual users. To address this gap, we introduce the concept…

Computation and Language · Computer Science 2025-03-11 Minjun Zhu , Yixuan Weng , Linyi Yang , Yue Zhang

Assessing personality traits using large language models (LLMs) has emerged as an interesting and challenging area of research. While previous methods employ explicit questionnaires, often derived from the Big Five model of personality, we…

Computation and Language · Computer Science 2024-09-17 Joseph Suh , Suhong Moon , Minwoo Kang , David M. Chan

Large language models (LLMs) are increasingly deployed as autonomous decision-makers in strategic settings, yet we have limited tools for understanding their high-level behavioral traits. We use activation steering methods in game-theoretic…

Artificial Intelligence · Computer Science 2026-03-24 Johnathan Sun , Andrew Zhang

Personality traits have long been studied as predictors of human behavior. Recent advances in Large Language Models (LLMs) suggest similar patterns may emerge in artificial systems, with advanced LLMs displaying consistent behavioral…

Artificial Intelligence · Computer Science 2025-09-08 Pengrui Han , Rafal Kocielnik , Peiyang Song , Ramit Debnath , Dean Mobbs , Anima Anandkumar , R. Michael Alvarez

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

The influence of personas on Large Language Models (LLMs) has been widely studied, yet their direct impact on performance remains uncertain. This work explores a novel approach to guiding LLM behaviour through role vectors, an alternative…

Computation and Language · Computer Science 2025-02-18 Daniele Potertì , Andrea Seveso , Fabio Mercorio

This research explores strategies for steering the output of large language models (LLMs) towards specific styles, such as sentiment, emotion, or writing style, by adding style vectors to the activations of hidden layers during text…

Computation and Language · Computer Science 2024-02-05 Kai Konen , Sophie Jentzsch , Diaoulé Diallo , Peer Schütt , Oliver Bensch , Roxanne El Baff , Dominik Opitz , Tobias Hecking

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

This research explores the potential of Large Language Models (LLMs) to utilize psychometric values, specifically personality information, within the context of video game character development. Affective Computing (AC) systems quantify a…

Computation and Language · Computer Science 2024-02-26 Lawrence J. Klinkert , Stephanie Buongiorno , Corey Clark

Large language models (LLMs) exhibit human-like intelligence, enabling them to simulate human behavior and support various applications that require both humanized communication and extensive knowledge reserves. Efforts are made to…

Computation and Language · Computer Science 2025-05-16 Zheni Zeng , Jiayi Chen , Huimin Chen , Yukun Yan , Yuxuan Chen , Zhenghao Liu , Zhiyuan Liu , Maosong Sun

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

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

Advances in Large Language Models (LLMs) paved the way for their emerging applications in various domains, such as human behavior simulations, where LLMs could augment human-generated data in social science research and machine learning…

Machine Learning · Computer Science 2025-04-08 Ngoc Bui , Hieu Trung Nguyen , Shantanu Kumar , Julian Theodore , Weikang Qiu , Viet Anh Nguyen , Rex Ying

The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved,…

Information Retrieval · Computer Science 2025-01-16 Jin Chen , Zheng Liu , Xu Huang , Chenwang Wu , Qi Liu , Gangwei Jiang , Yuanhao Pu , Yuxuan Lei , Xiaolong Chen , Xingmei Wang , Defu Lian , Enhong Chen

Recent Large Language Model (LLM) based AI can exhibit recognizable and measurable personality traits during conversations to improve user experience. However, as human understandings of their personality traits can be affected by their…

Human-Computer Interaction · Computer Science 2026-01-21 Jingshu Li , Tianqi Song , Nattapat Boonprakong , Zicheng Zhu , Yitian Yang , Yi-Chieh Lee