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Large language models (LLMs) are already being piloted for clinical use in hospital systems like NYU Langone, Dana-Farber and the NHS. A proposed deployment use case is psychotherapy, where a LLM-powered chatbot can treat a patient…

计算与语言 · 计算机科学 2024-10-10 Saadia Gabriel , Isha Puri , Xuhai Xu , Matteo Malgaroli , Marzyeh Ghassemi

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…

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…

人机交互 · 计算机科学 2026-02-12 Aditya Kumar Purohit , Hendrik Heuer

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,…

计算与语言 · 计算机科学 2023-11-02 Yirong Chen , Xiaofen Xing , Jingkai Lin , Huimin Zheng , Zhenyu Wang , Qi Liu , Xiangmin Xu

The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in automated mental health analysis. However, existing relevant studies bear several limitations, including inadequate evaluations, lack of prompting…

计算与语言 · 计算机科学 2024-10-03 Kailai Yang , Shaoxiong Ji , Tianlin Zhang , Qianqian Xie , Ziyan Kuang , Sophia Ananiadou

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…

计算与语言 · 计算机科学 2023-11-27 Neo Christopher Chung , George Dyer , Lennart Brocki

Large Language Models (LLMs) have remarkable capabilities across NLP tasks. However, their performance in multilingual contexts, especially within the mental health domain, has not been thoroughly explored. In this paper, we evaluate…

计算与语言 · 计算机科学 2026-02-03 Nishat Raihan , Sadiya Sayara Chowdhury Puspo , Ana-Maria Bucur , Stevie Chancellor , Marcos Zampieri

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 demonstrated state-of-the-art results on various reasoning tasks when applying the chain-of-thought (CoT) prompting technique. CoT prompting guides the model into breaking tasks into a few intermediate steps and…

计算与语言 · 计算机科学 2024-10-11 Oxana Vitman , Nika Amaglobeli , Paul Plachinda

Large Language Models (LLMs) are transforming mental health care by enhancing accessibility, personalization, and efficiency in therapeutic interventions. These AI-driven tools empower mental health professionals with real-time support,…

计算机与社会 · 计算机科学 2025-01-22 Hari Mohan Pandey

Based on official estimates, 50 million people worldwide are affected by dementia, and this number increases by 10 million new patients every year. Without a cure, clinical prognostication and early intervention represent the most effective…

计算与语言 · 计算机科学 2024-09-06 Francisco de Arriba-Pérez , Silvia García-Méndez

LGBTQ+ individuals are increasingly turning to chatbots powered by large language models (LLMs) to meet their mental health needs. However, little research has explored whether these chatbots can adequately and safely provide tailored…

人机交互 · 计算机科学 2024-02-15 Zilin Ma , Yiyang Mei , Yinru Long , Zhaoyuan Su , Krzysztof Z. Gajos

Large Language Models (LLMs) have demonstrated remarkable success across a wide range of industries, primarily due to their impressive generative abilities. Yet, their potential in applications requiring cognitive abilities, such as…

人工智能 · 计算机科学 2025-11-14 Min Zeng

This paper presents an innovative exploration of the application potential of large language models (LLM) in addressing the challenging task of automatically generating behavior trees (BTs) for complex tasks. The conventional manual BT…

计算与语言 · 计算机科学 2024-01-17 Fu Li , Xueying Wang , Bin Li , Yunlong Wu , Yanzhen Wang , Xiaodong Yi

Large Language Models (LLMs) have demonstrated exceptional capabilities in solving various tasks, progressively evolving into general-purpose assistants. The increasing integration of LLMs into society has sparked interest in whether they…

计算与语言 · 计算机科学 2025-10-20 Yuan Li , Yue Huang , Hongyi Wang , Ying Cheng , Xiangliang Zhang , James Zou , Lichao Sun

We propose a clinical decision support system (CDSS) for mental health diagnosis that combines the strengths of large language models (LLMs) and constraint logic programming (CLP). Having a CDSS is important because of the high complexity…

人工智能 · 计算机科学 2025-02-24 Brian Hyeongseok Kim , Chao Wang

Piaget's Theory of Cognitive Development (PTC) posits that the development of cognitive levels forms the foundation for human learning across various abilities. As Large Language Models (LLMs) have recently shown remarkable abilities across…

计算与语言 · 计算机科学 2025-02-13 Xinglin Wang , Peiwen Yuan , Shaoxiong Feng , Yiwei Li , Boyuan Pan , Heda Wang , Yao Hu , Kan Li

This paper explores the frontiers of large language models (LLMs) in psychology applications. Psychology has undergone several theoretical changes, and the current use of Artificial Intelligence (AI) and Machine Learning, particularly LLMs,…

机器学习 · 计算机科学 2025-07-15 Luoma Ke , Song Tong , Peng Cheng , Kaiping Peng

Large language models (LLMs) are transforming research on machine learning while galvanizing public debates. Understanding not only when these models work well and succeed but also why they fail and misbehave is of great societal relevance.…

计算与语言 · 计算机科学 2024-10-16 Julian Coda-Forno , Kristin Witte , Akshay K. Jagadish , Marcel Binz , Zeynep Akata , Eric Schulz

The study explores whether current Large Language Models (LLMs) exhibit Theory of Mind (ToM) capabilities -- specifically, the ability to infer others' beliefs, intentions, and emotions from text. Given that LLMs are trained on language…

计算与语言 · 计算机科学 2026-03-20 Anna Babarczy , Andras Lukacs , Peter Vedres , Zeteny Bujka