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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 latest advancements in AI and deep learning have led to a breakthrough in large language model (LLM)-based agents such as GPT-4. However, many commercial conversational agent development tools are pipeline-based and have limitations in…

Computation and Language · Computer Science 2023-09-08 Mina Foosherian , Hendrik Purwins , Purna Rathnayake , Touhidul Alam , Rui Teimao , Klaus-Dieter Thoben

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…

Computation and Language · Computer Science 2024-08-30 Rafael Souza , Jia-Hao Lim , Alexander Davis

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

The advent of large language models (LLMs) has significantly advanced various fields, including natural language processing and automated dialogue systems. This paper explores the application of LLMs in psychological counseling, addressing…

Computation and Language · Computer Science 2024-06-21 Wenjie Li , Tianyu Sun , Kun Qian , Wenhong Wang

In this paper, we propose a pipeline leveraging Large Language Models (LLMs) for data augmentation in Information Extraction tasks within the legal domain. The proposed method is both simple and effective, significantly reducing the manual…

Computation and Language · Computer Science 2026-01-12 Nguyen Minh Phuong , Ha-Thanh Nguyen , May Myo Zin , Ken Satoh

Existing dialogue data augmentation (DA) techniques predominantly focus on augmenting utterance-level dialogues, which makes it difficult to take dialogue contextual information into account. The advent of large language models (LLMs) has…

Computation and Language · Computer Science 2024-06-25 Jiyue Jiang , Liheng Chen , Sheng Wang , Lingpeng Kong , Yu Li , Chuan Wu

Given the increasing demand for mental health assistance, artificial intelligence (AI), particularly large language models (LLMs), may be valuable for integration into automated clinical support systems. In this work, we leverage a decision…

Computation and Language · Computer Science 2024-05-09 Aylin Gunal , Baihan Lin , Djallel Bouneffouf

Large language models (LLMs) hold significant potential for mental health support, capable of generating empathetic responses and simulating therapeutic conversations. However, existing LLM-based approaches often lack the clinical grounding…

Computation and Language · Computer Science 2025-11-04 He Hu , Yucheng Zhou , Juzheng Si , Qianning Wang , Hengheng Zhang , Fuji Ren , Fei Ma , Laizhong Cui , Qi Tian

Using large language models (LLMs) to assist psychological counseling is a significant but challenging task at present. Attempts have been made on improving empathetic conversations or acting as effective assistants in the treatment with…

Computation and Language · Computer Science 2024-06-11 Chenhao Zhang , Renhao Li , Minghuan Tan , Min Yang , Jingwei Zhu , Di Yang , Jiahao Zhao , Guancheng Ye , Chengming Li , Xiping Hu

Large Language Models (LLMs) are increasingly employed in multi-turn conversational tasks, yet their pre-training data predominantly consists of continuous prose, creating a potential mismatch between required capabilities and training…

Computation and Language · Computer Science 2025-07-09 Jing Yang Lee , Hamed Bonab , Nasser Zalmout , Ming Zeng , Sanket Lokegaonkar , Colin Lockard , Binxuan Huang , Ritesh Sarkhel , Haodong Wang

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

A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like…

Computation and Language · Computer Science 2024-06-12 Sylvio Barbon Junior , Paolo Ceravolo , Sven Groppe , Mustafa Jarrar , Samira Maghool , Florence Sèdes , Soror Sahri , Maurice Van Keulen

Large Language Models (LLMs) have quickly become an invaluable assistant for a variety of tasks. However, their effectiveness is constrained by their ability to tailor responses to human preferences and behaviors via personalization. Prior…

Computation and Language · Computer Science 2024-11-21 Lucie Charlotte Magister , Katherine Metcalf , Yizhe Zhang , Maartje ter Hoeve

Recent advances in psychotherapy have focused on treatment personalization, such as by selecting treatment modules based on personalized networks. However, estimating personalized networks typically requires intensive longitudinal data,…

Artificial Intelligence · Computer Science 2025-12-08 Clarissa W. Ong , Hiba Arnaout , Kate Sheehan , Estella Fox , Eugen Owtscharow , Iryna Gurevych

Large Language Models (LLMs) can play a vital role in psychotherapy by adeptly handling the crucial task of cognitive reframing and overcoming challenges such as shame, distrust, therapist skill variability, and resource scarcity. Previous…

Human-Computer Interaction · Computer Science 2025-01-28 Mengxi Xiao , Qianqian Xie , Ziyan Kuang , Zhicheng Liu , Kailai Yang , Min Peng , Weiguang Han , Jimin Huang

The demand for psychological counselling has grown significantly in recent years, particularly with the global outbreak of COVID-19, which has heightened the need for timely and professional mental health support. Online psychological…

Computation and Language · Computer Science 2023-09-04 Tin Lai , Yukun Shi , Zicong Du , Jiajie Wu , Ken Fu , Yichao Dou , Ziqi Wang

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

Understanding the dynamics of counseling conversations is an important task, yet it is a challenging NLP problem regardless of the recent advance of Transformer-based pre-trained language models. This paper proposes a systematic approach to…

Computation and Language · Computer Science 2024-02-23 Younghun Lee , Dan Goldwasser , Laura Schwab Reese

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
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