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The prevalent use of Large Language Models (LLMs) has necessitated studying their mental models, yielding noteworthy theoretical and practical implications. Current research has demonstrated that state-of-the-art LLMs, such as ChatGPT,…

Artificial Intelligence · Computer Science 2023-08-29 Chuanyang Jin , Songyang Zhang , Tianmin Shu , Zhihan Cui

Pretrained Language Models (PLMs) harbor inherent social biases that can result in harmful real-world implications. Such social biases are measured through the probability values that PLMs output for different social groups and attributes…

Computation and Language · Computer Science 2023-12-07 Rafal Kocielnik , Shrimai Prabhumoye , Vivian Zhang , Roy Jiang , R. Michael Alvarez , Anima Anandkumar

When asked, large language models (LLMs) like ChatGPT claim that they can assist with relevance judgments but it is not clear whether automated judgments can reliably be used in evaluations of retrieval systems. In this perspectives paper,…

The proliferation of Large Language Models (LLMs), such as ChatGPT, has raised concerns about their potential impact on academic integrity, prompting the need for LLM-resistant exam designs. This article investigates the performance of LLMs…

Computation and Language · Computer Science 2023-04-25 Simon kaare Larsen

This work investigates the capabilities of large language models (LLMs) in detecting and understanding human emotions through text. Drawing upon emotion models from psychology, we adopt an interdisciplinary perspective that integrates…

Computation and Language · Computer Science 2025-03-10 Florian Lecourt , Madalina Croitoru , Konstantin Todorov

Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained…

Computation and Language · Computer Science 2023-10-25 Xiang Zhang , Senyu Li , Bradley Hauer , Ning Shi , Grzegorz Kondrak

Large language models (LLMs) are now increasingly utilized for role-playing tasks, especially in impersonating domain-specific experts, primarily through role-playing prompts. When interacting in real-world scenarios, the decision-making…

Computation and Language · Computer Science 2024-03-01 Chenglei Shen , Guofu Xie , Xiao Zhang , Jun Xu

The Myers-Briggs Type Indicator (MBTI) is one of the most influential personality theories reflecting individual differences in thinking, feeling, and behaving. MBTI personality detection has garnered considerable research interest and has…

In recent years, large language models (LLMs) have attracted attention due to their ability to generate human-like text. As surveys and opinion polls remain key tools for gauging public attitudes, there is increasing interest in assessing…

General Economics · Economics 2025-02-12 Shapeng Jiang , Lijia Wei , Chen Zhang

As large language models (LLMs) are increasingly used in human-centered tasks, assessing their psychological traits is crucial for understanding their social impact and ensuring trustworthy AI alignment. While existing reviews have covered…

Computers and Society · Computer Science 2025-05-02 Wenhan Dong , Yuemeng Zhao , Zhen Sun , Yule Liu , Zifan Peng , Jingyi Zheng , Zongmin Zhang , Ziyi Zhang , Jun Wu , Ruiming Wang , Shengmin Xu , Xinyi Huang , Xinlei He

Recent advancements in Large Language Models (LLMs) have led to their adaptation in various domains as conversational agents. We wonder: can personality tests be applied to these agents to analyze their behavior, similar to humans? We…

We present a novel approach for integrating Myers-Briggs Type Indicator (MBTI) personality traits into large language models (LLMs), addressing the challenges of personality consistency in personalized AI. Our method, "Machine Mindset,"…

Computation and Language · Computer Science 2024-06-04 Jiaxi Cui , Liuzhenghao Lv , Jing Wen , Rongsheng Wang , Jing Tang , YongHong Tian , Li Yuan

Large-scale language models (LLMs) have emerged as a groundbreaking innovation in the realm of question-answering and conversational agents. These models, leveraging different deep learning architectures such as Transformers, are trained on…

Software Engineering · Computer Science 2023-07-18 Fardin Ahsan Sakib , Saadat Hasan Khan , A. H. M. Rezaul Karim

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

The rapid development of large language models (LLMs) has necessitated the creation of benchmarks to evaluate their performance. These benchmarks resemble human tests and surveys, as they consist of sets of questions designed to measure…

Computation and Language · Computer Science 2025-01-30 Denis Federiakin

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

As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, including education. In this study, we conducted interviews…

Human-Computer Interaction · Computer Science 2024-07-18 He Zhang , Jingyi Xie , Chuhao Wu , Jie Cai , ChanMin Kim , John M. Carroll

The introduction of ChatGPT has garnered widespread attention in both academic and industrial communities. ChatGPT is able to respond effectively to a wide range of human questions, providing fluent and comprehensive answers that…

Computation and Language · Computer Science 2023-01-19 Biyang Guo , Xin Zhang , Ziyuan Wang , Minqi Jiang , Jinran Nie , Yuxuan Ding , Jianwei Yue , Yupeng Wu

Rapid integration of large language models (LLMs) in health care is sparking global discussion about their potential to revolutionize health care quality and accessibility. At a time when improving health care quality and access remains a…

Computers and Society · Computer Science 2025-04-01 Troy Zada , Natalie Tam , Francois Barnard , Marlize Van Sittert , Venkat Bhat , Sirisha Rambhatla

As conversational models become increasingly available to the general public, users are engaging with this technology in social interactions. Such unprecedented interaction experiences may pose considerable social and psychological risks to…

Computation and Language · Computer Science 2023-08-28 Ekaterina Svikhnushina , Pearl Pu