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Psychotherapy reaches only a small fraction of individuals suffering from mental disorders due to social stigma and the limited availability of therapists. Large language models (LLMs), when equipped with professional psychotherapeutic…

Computation and Language · Computer Science 2025-09-04 Yougen Zhou , Ningning Zhou , Qin Chen , Jie Zhou , Aimin Zhou , Liang He

Traditional in-person psychological counseling remains primarily niche, often chosen by individuals with psychological issues, while online automated counseling offers a potential solution for those hesitant to seek help due to feelings of…

In contemporary society, the issue of psychological health has become increasingly prominent, characterized by the diversification, complexity, and universality of mental disorders. Cognitive Behavioral Therapy (CBT), currently the most…

Computation and Language · Computer Science 2024-07-26 Hao Shen , Zihan Li , Minqiang Yang , Minghui Ni , Yongfeng Tao , Zhengyang Yu , Weihao Zheng , Chen Xu , Bin Hu

Large language models (LLMs) have shown promise for mental health support, yet training such models is constrained by the scarcity and sensitivity of real counseling dialogues. In this article, we present MindChat, a privacy-preserving LLM…

Artificial Intelligence · Computer Science 2026-01-27 Dong Xue , Jicheng Tu , Ming Wang , Xin Yan , Fangzhou Liu , Jie Hu

Large language models show potential for scalable mental-health support by simulating Cognitive Behavioral Therapy (CBT) counselors. However, existing methods often rely on static cognitive profiles and omniscient single-agent simulation,…

Computation and Language · Computer Science 2026-04-09 Chang Liu , Changsheng Ma , Yongfeng Tao , Bin Hu , Minqiang Yang

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…

Computation and Language · Computer Science 2024-12-02 Yu Ying Chiu , Ashish Sharma , Inna Wanyin Lin , Tim Althoff

In recent years, Large Language Models (LLMs) have made significant progress in automated psychological counseling. However, current research focuses on single-session counseling, which doesn't represent real-world scenarios. In practice,…

Computation and Language · Computer Science 2025-06-10 Junzhe Wang , Bichen Wang , Xing Fu , Yixin Sun , Yanyan Zhao , Bing Qin

The recent advancements in artificial intelligence highlight the potential of language models in psychological health support. While models trained on data from mental health service platform have achieved preliminary success, challenges…

Computation and Language · Computer Science 2024-03-26 Hongbin Na

This paper presents ChatCounselor, a large language model (LLM) solution designed to provide mental health support. Unlike generic chatbots, ChatCounselor is distinguished by its foundation in real conversations between consulting clients…

Computation and Language · Computer Science 2023-09-28 June M. Liu , Donghao Li , He Cao , Tianhe Ren , Zeyi Liao , Jiamin Wu

Mental health care poses an increasingly serious challenge to modern societies. In this context, there has been a surge in research that utilizes information technologies to address mental health problems, including those aiming to develop…

Computation and Language · Computer Science 2024-02-21 Michimasa Inaba , Mariko Ukiyo , Keiko Takamizo

As mental health issues continue to rise globally, there is an increasing demand for accessible and scalable therapeutic solutions. Many individuals currently seek support from Large Language Models (LLMs), even though these models have not…

Computation and Language · Computer Science 2026-03-05 Navdeep Singh Bedi , Ana-Maria Bucur , Noriko Kando , Fabio Crestani

There is a significant gap between patient needs and available mental health support today. In this paper, we aim to thoroughly examine the potential of using Large Language Models (LLMs) to assist professional psychotherapy. To this end,…

Computation and Language · Computer Science 2025-01-28 Mian Zhang , Xianjun Yang , Xinlu Zhang , Travis Labrum , Jamie C. Chiu , Shaun M. Eack , Fei Fang , William Yang Wang , Zhiyu Zoey Chen

Creating effective dialogue systems for mental health support requires high-quality multi-turn counseling dialogue data, yet collecting real counselor-client conversations presents significant challenges, including privacy concerns, high…

Computation and Language · Computer Science 2026-05-27 Huachuan Qiu , Zhenzhong Lan

Large language models (LLMs) are being used as ad-hoc therapists. Research suggests that LLMs outperform human counselors when generating a single, isolated empathetic response; however, their session-level behavior remains understudied. In…

Human-Computer Interaction · Computer Science 2025-06-26 Zainab Iftikhar , Sean Ransom , Amy Xiao , Nicole Nugent , Jeff Huang

We introduce a pipeline that leverages Large Language Models (LLMs) to transform single-turn psychotherapy counseling sessions into multi-turn interactions. While AI-supported online counseling services for individuals with mental disorders…

Computation and Language · Computer Science 2024-06-14 Jun-Woo Kim , Ji-Eun Han , Jun-Seok Koh , Hyeon-Tae Seo , Du-Seong Chang

Large language models (LLMs) have been widely applied in various fields due to their excellent capability for memorizing knowledge and chain of thought (CoT). When these language models are applied in the field of psychological counseling,…

Computation and Language · Computer Science 2023-11-02 Yirong Chen , Xiaofen Xing , Jingkai Lin , Huimin Zheng , Zhenyu Wang , Qi Liu , Xiangmin Xu

Synthetic therapy dialogues generated by large language models (LLMs) are increasingly used in mental health NLP to simulate counseling scenarios, train models, and supplement limited real-world data. However, it remains unclear whether…

Computation and Language · Computer Science 2025-12-18 Xiaoyi Wang , Jiwei Zhang , Guangtao Zhang , Honglei Guo

Mental health has attracted substantial attention in recent years and LLM can be an effective technology for alleviating this problem owing to its capability in text understanding and dialogue. However, existing research in this domain…

Computation and Language · Computer Science 2024-12-09 Jinpeng Hu , Tengteng Dong , Luo Gang , Hui Ma , Peng Zou , Xiao Sun , Dan Guo , Xun Yang , Meng Wang

The in-context learning capabilities of large language models (LLMs) show great potential in mental health support. However, the lack of counseling datasets, particularly in Chinese corpora, restricts their application in this field. To…

Computation and Language · Computer Science 2025-03-06 Keqi Chen , Zekai Sun , Yuhua Wen , Huijun Lian , Yingming Gao , Ya Li

Conversational agents are increasingly used to address emotional needs on top of information needs. One use case of increasing interest are counselling-style mental health and behaviour change interventions, with large language model…

Human-Computer Interaction · Computer Science 2026-04-22 Selina Meyer , David Elsweiler
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