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Conversational agents based on Large Language Models (LLMs) have recently emerged as powerful tools for human-computer interaction. Nevertheless, their black-box nature implies challenges in predictability and a lack of personalization,…

计算与语言 · 计算机科学 2026-04-07 Barbara Gendron , Gaël Guibon , Mathieu d'Aquin

Large Language Models (LLMs) have shown promise in various domains, including healthcare, with significant potential to transform mental health applications by enabling scalable and accessible solutions. This study aims to provide a…

人工智能 · 计算机科学 2025-11-25 Abdelrahman Hanafi , Mohammed Saad , Noureldin Zahran , Radwa J. Hanafy , Mohammed E. Fouda

Large language models (LLMs) have been actively applied in the mental health field. Recent research shows the promise of LLMs in applying psychotherapy, especially motivational interviewing (MI). However, there is a lack of studies…

计算与语言 · 计算机科学 2025-04-01 Haein Kong , Seonghyeon Moon

The emergence of generative AI chatbots such as ChatGPT has prompted growing public and academic interest in their role as informal mental health support tools. While early rule-based systems have been around for several years, large…

计算与语言 · 计算机科学 2025-04-18 Anna-Carolina Haensch

The conversational capabilities of Large Language Models (LLMs) suggest that they may be able to perform as automated talk therapists. It is crucial to know if these systems would be effective and adhere to known standards. We present a…

Large language models have become increasingly common, used by millions of people worldwide in both professional and personal contexts. As these models continue to advance, they are frequently serving as virtual assistants and companions.…

计算与语言 · 计算机科学 2025-08-13 Victoria Williams , Benjamin Rosman

As mental health issues rise among college students, there is an increasing interest and demand in leveraging Multimodal Language Models (MLLM) to enhance mental support services, yet integrating them into psychotherapy remains theoretical…

人机交互 · 计算机科学 2026-02-09 Jiyao Wang , Youyu Sheng , Qihang He , Zian Zhang , Haolong Hu , Yumei Jing , Dengbo He

Large language models (LLMs) are powerful artificial intelligence (AI) tools transforming how research is conducted. However, their use in research has been met with skepticism, due to concerns about hallucinations, biases and potential…

人工智能 · 计算机科学 2025-07-08 Ruian Ke , Ruy M. Ribeiro

There is increasing interest in the application large language models (LLMs) to the medical field, in part because of their impressive performance on medical exam questions. While promising, exam questions do not reflect the complexity of…

Motivational interviewing (MI) promotes behavioural change in substance use disorders. Its fidelity is measured using the Motivational Interviewing Treatment Integrity (MITI) framework. While large language models (LLMs) can potentially…

Competency modeling is widely used in human resource management to select, develop, and evaluate talent. However, traditional expert-driven approaches rely heavily on manual analysis of large volumes of interview transcripts, making them…

计算与语言 · 计算机科学 2026-02-16 Silin Du , Manqing Xin , Raymond Jia Wang

Meta-analyses statistically aggregate the findings of different randomized controlled trials (RCTs) to assess treatment effectiveness. Because this yields robust estimates of treatment effectiveness, results from meta-analyses are…

计算与语言 · 计算机科学 2024-07-26 Hye Sun Yun , David Pogrebitskiy , Iain J. Marshall , Byron C. Wallace

In recent years, Large Language Models (LLMs) have made significant strides towards Artificial General Intelligence. However, training these models from scratch requires substantial computational resources and vast amounts of text data. In…

计算与语言 · 计算机科学 2024-10-03 Wenzhen Zheng , Wenbo Pan , Xu Xu , Libo Qin , Li Yue , Ming Zhou

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…

计算与语言 · 计算机科学 2024-08-30 Rafael Souza , Jia-Hao Lim , Alexander Davis

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

Despite the global mental health crisis, access to screenings, professionals, and treatments remains high. In collaboration with licensed psychotherapists, we propose a Conversational AI Therapist with psychotherapeutic Interventions…

计算与语言 · 计算机科学 2024-03-19 Jingping Nie , Hanya Shao , Yuang Fan , Qijia Shao , Haoxuan You , Matthias Preindl , Xiaofan Jiang

The exponential growth of text-based data in domains such as healthcare, education, and social sciences has outpaced the capacity of traditional qualitative analysis methods, which are time-intensive and prone to subjectivity. Large…

Large language models (LLMs) are increasingly being used for emotional support. They are also being developed for formal therapy purposes. However, LLMs like ChaptGPT or Llama are often developed with content moderation guardrails that…

人机交互 · 计算机科学 2026-05-26 Jiwon Kim , Claire Wang , Taeung Yoon , Sabelle Huang , Koustuv Saha

In response to the increasing mental health challenges faced by college students, we sought to understand their perspectives on how AI applications, particularly Large Language Models (LLMs), can be leveraged to enhance their mental…

人机交互 · 计算机科学 2024-09-27 Owen Xingjian Zhang , Shuyao Zhou , Jiayi Geng , Yuhan Liu , Sunny Xun Liu

In recent years, we have seen deep learning and distributed representations of words and sentences make impact on a number of natural language processing tasks, such as similarity, entailment and sentiment analysis. Here we introduce a new…