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Psychological support hotlines serve as critical lifelines for crisis intervention but encounter significant challenges due to rising demand and limited resources. Large language models (LLMs) offer potential support in crisis assessments,…

计算与语言 · 计算机科学 2025-12-19 Guifeng Deng , Shuyin Rao , Tianyu Lin , Anlu Dai , Pan Wang , Junyi Xie , Haidong Song , Ke Zhao , Dongwu Xu , Zhengdong Cheng , Tao Li , Haiteng Jiang

Large language model-powered chatbots have transformed how people seek information, especially in high-stakes contexts like mental health. Despite their support capabilities, safe detection and response to crises such as suicidal ideation…

The shortage of clinical workforce presents significant challenges in mental healthcare, limiting access to formal diagnostics and services. We aim to tackle this shortage by integrating a customized large language model (LLM) into the…

计算与语言 · 计算机科学 2025-05-02 Sichang Tu , Abigail Powers , Natalie Merrill , Negar Fani , Sierra Carter , Stephen Doogan , Jinho D. Choi

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…

计算与语言 · 计算机科学 2024-06-21 Wenjie Li , Tianyu Sun , Kun Qian , Wenhong Wang

Mental disorders are clinically significant patterns of behavior that are associated with stress and/or impairment in social, occupational, or family activities. People suffering from such disorders are often misjudged and poorly diagnosed…

机器学习 · 计算机科学 2025-09-03 Abu Shad Ahammed , Sayeri Mukherjee , Roman Obermaisser

We employ a Large Language Model (LLM) to convert unstructured psychological interviews into structured questionnaires spanning various psychiatric and personality domains. The LLM is prompted to answer these questionnaires by impersonating…

计算与语言 · 计算机科学 2024-06-12 Gony Rosenman , Lior Wolf , Talma Hendler

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…

Conversational systems relying on text-based large language models (LLMs) often overlook paralinguistic cues, essential for understanding emotions and intentions. Speech-language models (SLMs), which use speech as input, are emerging as a…

计算与语言 · 计算机科学 2025-08-12 Chun Wang , Chenyang Liu , Wenze Xu , Weihong Deng

Suicide is a pressing global issue, demanding urgent and effective preventive interventions. Among the various strategies in place, psychological support hotlines had proved as a potent intervention method. Approximately two million people…

计算与语言 · 计算机科学 2024-09-11 Yining Chen , Jianqiang Li , Changwei Song , Qing Zhao , Yongsheng Tong , Guanghui Fu

Evaluating Large Language Models (LLMs) for mental health support is challenging due to the emotionally and cognitively complex nature of therapeutic dialogue. Existing benchmarks are limited in scale, reliability, often relying on…

Large language models (LLMs) are increasingly attracting the attention of healthcare professionals for their potential to assist in diagnostic assessments, which could alleviate the strain on the healthcare system caused by a high patient…

计算与语言 · 计算机科学 2025-01-03 Kaushik Roy , Harshul Surana , Darssan Eswaramoorthi , Yuxin Zi , Vedant Palit , Ritvik Garimella , Amit Sheth

Effective patient-provider communication is crucial in clinical care, directly impacting patient outcomes and quality of life. Traditional evaluation methods, such as human ratings, patient feedback, and provider self-assessments, are often…

计算与语言 · 计算机科学 2024-09-25 Zhiyuan Wang , Fangxu Yuan , Virginia LeBaron , Tabor Flickinger , Laura E. Barnes

Large language models (LLMs) are increasingly being used in a zero-shot fashion to assess mental health conditions, yet we have limited knowledge on what factors affect their accuracy. In this study, we utilize a clinical dataset of natural…

Large language models (LLMs) have offered new opportunities for emotional support, and recent work has shown that they can produce empathic responses to people in distress. However, long-term mental well-being requires emotional…

计算与语言 · 计算机科学 2024-08-09 Hongli Zhan , Allen Zheng , Yoon Kyung Lee , Jina Suh , Junyi Jessy Li , Desmond C. Ong

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…

计算与语言 · 计算机科学 2023-09-04 Tin Lai , Yukun Shi , Zicong Du , Jiajie Wu , Ken Fu , Yichao Dou , Ziqi Wang

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…

计算与语言 · 计算机科学 2025-11-04 He Hu , Yucheng Zhou , Juzheng Si , Qianning Wang , Hengheng Zhang , Fuji Ren , Fei Ma , Laizhong Cui , Qi Tian

Background: Advancements in large language models (LLMs) have opened new possibilities in psychiatric interviews, an underexplored area where LLMs could be valuable. This study focuses on enhancing psychiatric interviews by analyzing…

人工智能 · 计算机科学 2025-02-11 Jae-hee So , Joonhwan Chang , Eunji Kim , Junho Na , JiYeon Choi , Jy-yong Sohn , Byung-Hoon Kim , Sang Hui Chu

Hospital call centers serve as the primary contact point for patients within a hospital system. They also generate substantial volumes of staff messages as navigators process patient requests and communicate with the hospital offices…

计算与语言 · 计算机科学 2025-09-09 Hajar Sakai , Yi-En Tseng , Mohammadsadegh Mikaeili , Joshua Bosire , Franziska Jovin

Large Language Model (LLM)-based systems present new opportunities for autonomous health monitoring in sensor-rich industrial environments. This study explores the potential of LLMs to detect and classify faults directly from sensor data,…

人工智能 · 计算机科学 2025-09-30 Xian Yeow Lee , Lasitha Vidyaratne , Ahmed Farahat , Chetan Gupta

Large language models (LLMs) are increasingly proposed for crisis preparedness and response, particularly for multilingual communication. However, their suitability for high-stakes crisis contexts remains insufficiently evaluated. This work…

计算与语言 · 计算机科学 2026-02-17 Belu Ticona , Antonis Anastasopoulos
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