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Motivational interviewing (MI) promotes behavioural change in substance use disorders. Its fidelity is measured using the Motivational Interviewing Treatment Integrity (MITI) framework. While large language models (LLMs) can potentially…

Background: Motivational interviewing (MI) is an effective counseling approach for promoting health behavior change, but its impact is constrained by the need for highly trained human counselors. Objective: This study aimed to explore a…

计算与语言 · 计算机科学 2025-12-18 Run-ze Hu , Yang Yang , Yi-hang Yang , Jing-qi Kong , Jia-hui Luo , Wen-yu Yang , Jing Chen , Jing-yao Liu , Hui-qun Zeng , Lei Zhang , Zheng Liu

Psychological consultation is essential for improving mental health and well-being, yet challenges such as the shortage of qualified professionals and scalability issues limit its accessibility. To address these challenges, we explore the…

计算与语言 · 计算机科学 2024-08-30 Rafael Souza , Jia-Hao Lim , Alexander Davis

The escalating global mental health crisis, marked by persistent treatment gaps, availability, and a shortage of qualified therapists, positions Large Language Models (LLMs) as a promising avenue for scalable support. While LLMs offer…

Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning. Large language models (LLMs) are emerging as potent tools increasingly capable of performing human-level…

计算与语言 · 计算机科学 2023-04-13 Sifatkaur Dhingra , Manmeet Singh , Vaisakh SB , Neetiraj Malviya , Sukhpal Singh Gill

The emergence of large language models (LLMs) like ChatGPT has increased interest in their use as therapists to address mental health challenges and the widespread lack of access to care. However, experts have emphasized the critical need…

计算与语言 · 计算机科学 2024-12-02 Yu Ying Chiu , Ashish Sharma , Inna Wanyin Lin , Tim Althoff

Large Language Models (LLMs) such as ChatGPT have shown remarkable abilities in producing human-like text. However, it is unclear how accurately these models internalize concepts that shape human thought and behavior. Here, we developed a…

机器学习 · 计算机科学 2025-07-01 Hiro Taiyo Hamada , Ippei Fujisawa , Genji Kawakita , Yuki Yamada

Large Language Models (LLMs) such as OpenAI's GPT-4 and Meta's LLaMA offer a promising approach for scalable personality assessment from open-ended language. However, inferring personality traits remains challenging, and earlier work often…

计算与语言 · 计算机科学 2025-07-22 Jianfeng Zhu , Ruoming Jin , Karin G. Coifman

Understanding the conversation abilities of Large Language Models (LLMs) can help lead to its more cautious and appropriate deployment. This is especially important for safety-critical domains like mental health, where someone's life may…

计算与语言 · 计算机科学 2024-03-18 Alexander Marrapese , Basem Suleiman , Imdad Ullah , Juno Kim

Large Language Models (LLMs) are demonstrating remarkable human like capabilities across diverse domains, including psychological assessment. This study evaluates whether LLMs, specifically GPT-4o and GPT-4o mini, can infer Big Five…

计算与语言 · 计算机科学 2025-01-14 Jianfeng Zhu , Ruoming Jin , Karin G. Coifman

This study investigates the efficacy of Large Language Models (LLMs) in interactive language therapy for high-functioning autistic adolescents. With the rapid advancement of artificial intelligence, particularly in natural language…

人机交互 · 计算机科学 2023-11-17 Yujin Cho , Mingeon Kim , Seojin Kim , Oyun Kwon , Ryan Donghan Kwon , Yoonha Lee , Dohyun Lim

This paper explores the potential of large language models (LLMs) as reliable analytical tools in linguistic research, focusing on the emergence of affective meanings in temporal expressions involving manner-of-motion verbs. While LLMs like…

计算与语言 · 计算机科学 2025-07-15 Rosa Illan Castillo , Javier Valenzuela

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

OpenAI's ChatGPT (GPT-4 and GPT-4o) and other Large Language Models (LLMs) like Microsoft's Copilot, Google's Gemini 1.5 Pro, and Antrophic's Claude 3.5 Sonnet can be effectively used in various phases of scientific research. Their…

人工智能 · 计算机科学 2024-09-24 Goran Bubaš

The immense number of parameters and deep neural networks make large language models (LLMs) rival the complexity of human brains, which also makes them opaque ``black box'' systems that are challenging to evaluate and interpret. AI…

人工智能 · 计算机科学 2026-03-16 Yibai Li , Xiaolin Lin , Zhenghui Sha , Zhiye Jin , Xiaobing Li

The humanlike responses of large language models (LLMs) have prompted social scientists to investigate whether LLMs can be used to simulate human participants in experiments, opinion polls and surveys. Of central interest in this line of…

计算与语言 · 计算机科学 2024-05-14 Nikolay B Petrov , Gregory Serapio-García , Jason Rentfrow

This study evaluates the GPT-4 Large Language Model's abductive reasoning in complex fields like medical diagnostics, criminology, and cosmology. Using an interactive interview format, the AI assistant demonstrated reliability in generating…

人工智能 · 计算机科学 2023-07-21 Remo Pareschi

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

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

综合经济学 · 经济学 2024-06-25 Magnus Lundgren

Large Language Models (LLMs), typified by OpenAI's GPT, have marked a significant advancement in artificial intelligence. Trained on vast amounts of text data, LLMs are capable of understanding and generating human-like text across a…

人工智能 · 计算机科学 2024-10-29 Haochen Zhang , Yuyang Dong , Chuan Xiao , Masafumi Oyamada
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