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Prevailing large language models (LLMs) are capable of human responses simulation through its unprecedented content generation and reasoning abilities. However, it is not clear whether and how to leverage LLMs to simulate field experiments.…

Artificial Intelligence · Computer Science 2024-08-20 Yaoyu Chen , Yuheng Hu , Yingda Lu

Large Language Models (LLMs) have demonstrated surprising performance across various natural language processing tasks. Recently, medical LLMs enhanced with domain-specific knowledge have exhibited excellent capabilities in medical…

Computation and Language · Computer Science 2024-09-24 Jinqiang Wang , Huansheng Ning , Yi Peng , Qikai Wei , Daniel Tesfai , Wenwei Mao , Tao Zhu , Runhe Huang

Intelligent Tutoring Systems (ITSs) can provide personalized and self-paced learning experience. The emergence of large language models (LLMs) further enables better human-machine interaction, and facilitates the development of…

Computation and Language · Computer Science 2025-05-29 Zhengyuan Liu , Stella Xin Yin , Geyu Lin , Nancy F. Chen

This paper addresses the conceptual, methodological and technical challenges in studying large language models (LLMs) and the texts they produce from a quantitative linguistics perspective. It builds on a theoretical framework that…

Computation and Language · Computer Science 2024-08-30 Jiří Milička

Large Language Models (LLMs) have increasingly demonstrated the ability to facilitate the development of multi-agent systems that allow the interpretation of thoughts and actions generated by each individual. Promising advancements have…

Multiagent Systems · Computer Science 2024-09-24 Asher Sprigler , Alexander Drobek , Keagan Weinstock , Wendpanga Tapsoba , Gavin Childress , Andy Dao , Lucas Gral

The development of large language models (LLMs) capable of following instructions and engaging in conversational interactions sparked increased interest in their utilization across various support tools. We investigate the utility of modern…

Human-Computer Interaction · Computer Science 2024-01-31 Tuhin Chakrabarty , Vishakh Padmakumar , Faeze Brahman , Smaranda Muresan

Psychological profiling of large language models (LLMs) using psychometric questionnaires designed for humans has become widespread. However, it remains unclear whether the resulting profiles mirror the models' psychological characteristics…

Computation and Language · Computer Science 2026-04-06 Woojung Song , Dongmin Choi , Yoonah Park , Jongwook Han , Yohan Jo

Providing students with flexible and timely academic support is a challenge at most colleges and universities, leaving many students without help outside scheduled hours. Large language models (LLMs) are promising for bridging this gap, but…

Computers and Society · Computer Science 2025-09-12 Chang Liu , Loc Hoang , Andrew Stolman , Rene F. Kizilcec , Bo Wu

Large Language Models (LLMs) have demonstrated impressive capabilities in role-playing scenarios, particularly in simulating domain-specific experts using tailored prompts. This ability enables LLMs to adopt the persona of individuals with…

Artificial Intelligence · Computer Science 2025-01-14 Xinyao Ma , Rui Zhu , Zihao Wang , Jingwei Xiong , Qingyu Chen , Haixu Tang , L. Jean Camp , Lucila Ohno-Machado

The increased presence of large language models (LLMs) in educational settings has ignited debates concerning negative repercussions, including overreliance and inadequate task reflection. Our work advocates moderated usage of such models,…

This paper explores the advancements in making large language models (LLMs) more human-like. We focus on techniques that enhance natural language understanding, conversational coherence, and emotional intelligence in AI systems. The study…

Computation and Language · Computer Science 2026-02-03 Ethem Yağız Çalık , Talha Rüzgar Akkuş

Large language models are increasingly applied in real-world scenarios, including research and education. These models, however, come with well-known ethical issues, which may manifest in unexpected ways in human-computer interaction…

Human-Computer Interaction · Computer Science 2024-04-01 Shivani Kapania , Ruiyi Wang , Toby Jia-Jun Li , Tianshi Li , Hong Shen

This research focuses on using large language models (LLMs) to simulate social experiments, exploring their ability to emulate human personality in virtual persona role-playing. The research develops an end-to-end evaluation framework,…

Computers and Society · Computer Science 2025-10-15 Yuqi Bai , Tianyu Huang , Kun Sun , Yuting Chen

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

Large Language Models (LLMs) have shown remarkable promise in communicating with humans. Their potential use as artificial partners with humans in sociological experiments involving conversation is an exciting prospect. But how viable is…

Artificial Intelligence · Computer Science 2025-02-04 James Flamino , Mohammed Shahid Modi , Boleslaw K. Szymanski , Brendan Cross , Colton Mikolajczyk

LLMs can generate human-like dialogues, yet their ability to simulate early child-adult interactions remains largely unexplored. In this paper, we examined how effectively LLMs can capture the distinctive features of child-caregiver…

Computation and Language · Computer Science 2025-09-03 Jing Liu , Abdellah Fourtassi

A central challenge in social science is to generate rich qualitative hypotheses about how diverse social groups might interpret new information. This article introduces and illustrates a novel methodological approach for this purpose:…

Computation and Language · Computer Science 2026-01-06 Hugues Draelants

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…

Computation and Language · Computer Science 2025-06-23 Ziyan Cui , Ning Li , Huaikang Zhou

There is increasing interest in employing large language models (LLMs) as cognitive models. For such purposes, it is central to understand which properties of human cognition are well-modeled by LLMs, and which are not. In this work, we…

Large language models (LLMs) show increasingly advanced emergent capabilities and are being incorporated across various societal domains. Understanding their behavior and reasoning abilities therefore holds significant importance. We argue…

Computation and Language · Computer Science 2024-08-09 Thilo Hagendorff , Ishita Dasgupta , Marcel Binz , Stephanie C. Y. Chan , Andrew Lampinen , Jane X. Wang , Zeynep Akata , Eric Schulz