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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…

计算与语言 · 计算机科学 2025-06-23 Ziyan Cui , Ning Li , Huaikang Zhou

This paper provides an in-depth evaluation of three state-of-the-art Large Language Models (LLMs) for personalized career mentoring in the computing field, using three distinct student profiles that consider gender, race, and professional…

计算与语言 · 计算机科学 2024-12-16 Xiao Luo , Sean O'Connell , Shamima Mithun

This study explores the idea of AI Personality or AInality suggesting that Large Language Models (LLMs) exhibit patterns similar to human personalities. Assuming that LLMs share these patterns with humans, we investigate using…

计算与语言 · 计算机科学 2023-12-25 Yang Lu , Jordan Yu , Shou-Hsuan Stephen Huang

Large Language Models (LLMs) have significantly improved personalized conversational capabilities. However, existing datasets like Persona Chat, Synthetic Persona Chat, and Blended Skill Talk rely on static, predefined personas. This…

计算与语言 · 计算机科学 2024-12-17 Sayantan Pal , Souvik Das , Rohini K. Srihari

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…

人工智能 · 计算机科学 2025-12-12 Akash Kundu , Rishika Goswami

Large language models (LLMs) exhibit expert-level performance in tasks across a wide range of different domains. Ethical issues raised by LLMs and the need to align future versions makes it important to know how state of the art models…

Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate their emerging abilities. In this study, we show that LLMs,…

计算与语言 · 计算机科学 2023-10-10 Thilo Hagendorff , Sarah Fabi

As Large Language Models (LLMs) become increasingly integrated into our everyday lives, understanding their ability to comprehend human mental states becomes critical for ensuring effective interactions. However, despite the recent attempts…

计算与语言 · 计算机科学 2023-12-06 Kanishk Gandhi , Jan-Philipp Fränken , Tobias Gerstenberg , Noah D. Goodman

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…

人机交互 · 计算机科学 2026-03-03 Mohammad Amin Samadi , Nia Nixon

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…

计算与语言 · 计算机科学 2024-11-12 Jingyao Zheng , Xian Wang , Simo Hosio , Xiaoxian Xu , Lik-Hang Lee

Accurate assessment of personality traits is crucial for effective psycho-counseling, yet traditional methods like self-report questionnaires are time-consuming and biased. This study exams whether Large Language Models (LLMs) can predict…

计算与语言 · 计算机科学 2024-06-26 Yang Yan , Lizhi Ma , Anqi Li , Jingsong Ma , Zhenzhong Lan

As Large Language Models (LLMs) are integrated with human daily applications rapidly, many societal and ethical concerns are raised regarding the behavior of LLMs. One of the ways to comprehend LLMs' behavior is to analyze their…

计算与语言 · 计算机科学 2024-02-23 Xiaoyang Song , Yuta Adachi , Jessie Feng , Mouwei Lin , Linhao Yu , Frank Li , Akshat Gupta , Gopala Anumanchipalli , Simerjot Kaur

Questionnaires are a common method for detecting the personality of Large Language Models (LLMs). However, their reliability is often compromised by two main issues: hallucinations (where LLMs produce inaccurate or irrelevant responses) and…

计算与语言 · 计算机科学 2024-10-14 Baohua Zhan , Yongyi Huang , Wenyao Cui , Huaping Zhang , Jianyun Shang

This study proposes a novel methodology for generating personalized fake news debunking messages by prompting Large Language Models (LLMs) with persona-based inputs aligned to the Big Five personality traits: Extraversion, Agreeableness,…

人工智能 · 计算机科学 2026-03-11 Pietro Dell'Oglio , Alessandro Bondielli , Francesco Marcelloni , Lucia C. Passaro

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…

人机交互 · 计算机科学 2026-01-21 Jingshu Li , Tianqi Song , Nattapat Boonprakong , Zicheng Zhu , Yitian Yang , Yi-Chieh Lee

Large Language Models (LLMs) have demonstrated exceptional capabilities in solving various tasks, progressively evolving into general-purpose assistants. The increasing integration of LLMs into society has sparked interest in whether they…

计算与语言 · 计算机科学 2025-10-20 Yuan Li , Yue Huang , Hongyi Wang , Ying Cheng , Xiangliang Zhang , James Zou , Lichao Sun

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…

计算与语言 · 计算机科学 2023-05-25 Xiaoyang Song , Akshat Gupta , Kiyan Mohebbizadeh , Shujie Hu , Anant Singh

Personality manipulation in large language models (LLMs) is increasingly applied in customer service and agentic scenarios, yet its mechanisms and trade-offs remain unclear. We present a systematic study of personality control using the Big…

计算与语言 · 计算机科学 2025-09-08 Gunmay Handa , Zekun Wu , Adriano Koshiyama , Philip Treleaven

Large language models generate judgments that resemble those of humans. Yet the extent to which these models align with human judgments in interpreting figurative and socially grounded language remains uncertain. To investigate this, human…

计算与语言 · 计算机科学 2026-01-15 Samhita Bollepally , Aurora Sloman-Moll , Takashi Yamauchi

One open question in the study of Large Language Models (LLMs) is whether they can emulate human ethical reasoning and act as believable proxies for human judgment. To investigate this, we introduce a benchmark dataset comprising 196…

计算与语言 · 计算机科学 2025-05-14 Jiashen , Du , Jesse Yao , Allen Liu , Zhekai Zhang