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In response to the increasing mental health challenges faced by college students, we sought to understand their perspectives on how AI applications, particularly Large Language Models (LLMs), can be leveraged to enhance their mental…

Human-Computer Interaction · Computer Science 2024-09-27 Owen Xingjian Zhang , Shuyao Zhou , Jiayi Geng , Yuhan Liu , Sunny Xun Liu

Mental health is increasingly critical in contemporary healthcare, with psychotherapy demanding dynamic, context-sensitive interactions that traditional NLP methods struggle to capture. Large Language Models (LLMs) offer significant…

Computation and Language · Computer Science 2025-06-30 Hongbin Na , Yining Hua , Zimu Wang , Tao Shen , Beibei Yu , Lilin Wang , Wei Wang , John Torous , Ling Chen

Global rates of mental health concerns are rising, and there is increasing realization that existing models of mental health care will not adequately expand to meet the demand. With the emergence of large language models (LLMs) has come…

Computation and Language · Computer Science 2024-08-02 Hannah R. Lawrence , Renee A. Schneider , Susan B. Rubin , Maja J. Mataric , Daniel J. McDuff , Megan Jones Bell

Large language models (LLMs) have attracted significant attention for potential applications in digital health, while their application in mental health is subject to ongoing debate. This systematic review aims to evaluate the usage of LLMs…

Computers and Society · Computer Science 2024-08-14 Zhijun Guo , Alvina Lai , Johan Hilge Thygesen , Joseph Farrington , Thomas Keen , Kezhi Li

With the rapid development of artificial intelligence, large language models (LLMs) have shown promising capabilities in mimicking human-level language comprehension and reasoning. This has sparked significant interest in applying LLMs to…

Computation and Language · Computer Science 2023-11-06 Mingze Yuan , Peng Bao , Jiajia Yuan , Yunhao Shen , Zifan Chen , Yi Xie , Jie Zhao , Yang Chen , Li Zhang , Lin Shen , Bin Dong

Multimodal Large Language Models (MLLMs) have become increasingly important due to their state-of-the-art performance and ability to integrate multiple data modalities, such as text, images, and audio, to perform complex tasks with high…

Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal large language models (MLLMs) have attracted widespread attention for their exceptional capabilities in understanding, reasoning, and generation,…

Computation and Language · Computer Science 2024-12-31 Hanguang Xiao , Feizhong Zhou , Xingyue Liu , Tianqi Liu , Zhipeng Li , Xin Liu , Xiaoxuan Huang

The past decade has been transformative for mental health research and practice. The ability to harness large repositories of data, whether from electronic health records (EHR), mobile devices, or social media, has revealed a potential for…

Computation and Language · Computer Science 2023-11-28 Munmun De Choudhury , Sachin R. Pendse , Neha Kumar

Mental health support in colleges is vital in educating students by offering counseling services and organizing supportive events. However, evaluating its effectiveness faces challenges like data collection difficulties and lack of…

Computation and Language · Computer Science 2024-12-06 Palak Sood , Chengyang He , Divyanshu Gupta , Yue Ning , Ping Wang

People experiencing severe distress increasingly use Large Language Model (LLM) chatbots as mental health support tools. Discussions on social media have described how engagements were lifesaving for some, but evidence suggests that…

Human-Computer Interaction · Computer Science 2025-05-12 Inhwa Song , Sachin R. Pendse , Neha Kumar , Munmun De Choudhury

Large Language Models (LLMs) are increasingly used for mental health support, yet little is known about how people with mental health challenges engage with them, how they evaluate their usefulness, and what design opportunities they…

Human-Computer Interaction · Computer Science 2026-02-12 Aditya Kumar Purohit , Hendrik Heuer

Should a large language model (LLM) be used as a therapist? In this paper, we investigate the use of LLMs to *replace* mental health providers, a use case promoted in the tech startup and research space. We conduct a mapping review of…

Computation and Language · Computer Science 2025-04-28 Jared Moore , Declan Grabb , William Agnew , Kevin Klyman , Stevie Chancellor , Desmond C. Ong , Nick Haber

The global mental health crisis is looming with a rapid increase in mental disorders, limited resources, and the social stigma of seeking treatment. As the field of artificial intelligence (AI) has witnessed significant advancements in…

Computation and Language · Computer Science 2023-11-27 Neo Christopher Chung , George Dyer , Lennart Brocki

This paper explores the effectiveness of Multimodal Large Language models (MLLMs) as assistive technologies for visually impaired individuals. We conduct a user survey to identify adoption patterns and key challenges users face with such…

In an era defined by the explosive growth of data and rapid technological advancements, Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence (AI) systems. Designed to seamlessly integrate diverse data…

Digital technologies have long been explored as a complement to standard procedure in mental health research and practice, ranging from the management of electronic health records to app-based interventions. The recent emergence of large…

Therapeutic art activities, such as expressive drawing and painting, require the synergy between creative visual production and interactive dialogue. Recent advancements in Multimodal Large Language Models (MLLMs) have expanded the capacity…

Human-Computer Interaction · Computer Science 2026-05-12 Le Lin , Zihao Zhu , Rainbow Tin Hung Ho , Jing Liao , Yuhan Luo

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

Recently, the astonishing performance of large language models (LLMs) in natural language comprehension and generation tasks triggered lots of exploration of using them as central controllers to build agent systems. Multiple studies focus…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Chenyu Wang , Weixin Luo , Sixun Dong , Xiaohua Xuan , Zhengxin Li , Lin Ma , Shenghua Gao

Objectieve:This review aims to deliver a comprehensive analysis of Large Language Models (LLMs) utilization in mental health care, evaluating their effectiveness, identifying challenges, and exploring their potential for future application.…

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