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Objective: This study aims to develop and validate an evaluation framework to ensure the safety and reliability of mental health chatbots, which are increasingly popular due to their accessibility, human-like interactions, and context-aware…

Large Language Models (LLMs) such as ChatGPT, have gained significant attention due to their impressive natural language processing capabilities. It is crucial to prioritize human-centered principles when utilizing these models.…

计算与语言 · 计算机科学 2023-06-21 Yue Huang , Qihui Zhang , Philip S. Y , Lichao Sun

LLMs promise to overcome limitations of rule-based mental health chatbots through improved natural language capabilities, yet their ability to deliver evidence-based psychological interventions remains largely unverified because evaluations…

Large language model (LLM) chatbots are susceptible to biases and hallucinations, but current evaluations of mental wellness technologies lack comprehensive case studies to evaluate their practical applications. Here, we address this gap by…

人机交互 · 计算机科学 2024-07-17 Lucia Chen , David A. Preece , Pilleriin Sikka , James J. Gross , Ben Krause

The integration of Large Language Models (LLMs) into the healthcare domain has the potential to significantly enhance patient care and support through the development of empathetic, patient-facing chatbots. This study investigates an…

计算与语言 · 计算机科学 2024-05-28 Man Luo , Christopher J. Warren , Lu Cheng , Haidar M. Abdul-Muhsin , Imon Banerjee

Recent advances in large language models (LLMs) have led to the development of powerful AI chatbots capable of engaging in natural and human-like conversations. However, these chatbots can be potentially harmful, exhibiting manipulative,…

人工智能 · 计算机科学 2023-04-04 Baihan Lin , Djallel Bouneffouf , Guillermo Cecchi , Kush R. Varshney

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

计算与语言 · 计算机科学 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

Large language models (LLMs), such as ChatGPT, have rapidly penetrated into people's work and daily lives over the past few years, due to their extraordinary conversational skills and intelligence. ChatGPT has become the fastest-growing…

计算与语言 · 计算机科学 2024-09-04 Wenxuan Wang

Large Language Models (LLMs) are increasingly utilized for mental health support; however, current safety benchmarks often fail to detect the complex, longitudinal risks inherent in therapeutic dialogue. We introduce an evaluation framework…

计算与语言 · 计算机科学 2026-03-06 Ian Steenstra , Paola Pedrelli , Weiyan Shi , Stacy Marsella , Timothy W. Bickmore

While Large Language Models (LLMs) demonstrate significant potential in providing accessible mental health support, their practical deployment raises critical trustworthiness concerns due to the domains high-stakes and safety-sensitive…

计算与语言 · 计算机科学 2026-03-04 Zixin Xiong , Ziteng Wang , Haotian Fan , Xinjie Zhang , Wenxuan Wang

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…

计算与语言 · 计算机科学 2024-12-02 Yu Ying Chiu , Ashish Sharma , Inna Wanyin Lin , Tim Althoff

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,…

Background: Clinical guidelines are central to safe evidence-based medicine in modern healthcare, providing diagnostic criteria, treatment options and monitoring advice for a wide range of illnesses. LLM-empowered chatbots have shown great…

计算与语言 · 计算机科学 2025-05-07 Julia Ive , Felix Jozsa , Nick Jackson , Paulina Bondaronek , Ciaran Scott Hill , Richard Dobson

Objectives: While Large Language Models (LLMs) have been widely used to assist clinicians and support patients, no existing work has explored dialogue systems for standard diagnostic interviews and assessments. This study aims to bridge the…

计算与语言 · 计算机科学 2025-05-01 Sichang Tu , Abigail Powers , Stephen Doogan , Jinho D. Choi

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 (LLM) have taken the front seat in most of the news since November 2022, when ChatGPT was introduced. After more than one year, one of the major reasons companies are resistant to adopting them is the limited…

人工智能 · 计算机科学 2024-03-13 Carlo Lipizzi

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

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…

人机交互 · 计算机科学 2025-05-12 Inhwa Song , Sachin R. Pendse , Neha Kumar , Munmun De Choudhury

Generative Artificial Intelligence is set to revolutionize healthcare delivery by transforming traditional patient care into a more personalized, efficient, and proactive process. Chatbots, serving as interactive conversational models, will…

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…

计算与语言 · 计算机科学 2026-03-05 Navdeep Singh Bedi , Ana-Maria Bucur , Noriko Kando , Fabio Crestani
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