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Related papers: CBT-Bench: Evaluating Large Language Models on Ass…

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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…

Computation and Language · Computer Science 2024-08-09 Hongli Zhan , Allen Zheng , Yoon Kyung Lee , Jina Suh , Junyi Jessy Li , Desmond C. Ong

Large Language Models (LLMs) have recently showcased their remarkable capacities, not only in natural language processing tasks but also across diverse domains such as clinical medicine, legal consultation, and education. LLMs become more…

Computation and Language · Computer Science 2024-01-23 Jen-tse Huang , Wenxuan Wang , Eric John Li , Man Ho Lam , Shujie Ren , Youliang Yuan , Wenxiang Jiao , Zhaopeng Tu , Michael R. Lyu

Medical question answering (QA) benchmarks often focus on multiple-choice or fact-based tasks, leaving open-ended answers to real patient questions underexplored. This gap is particularly critical in mental health, where patient questions…

Computation and Language · Computer Science 2026-05-15 Yahan Li , Jifan Yao , John Bosco S. Bunyi , Adam C. Frank , Angel Hsing-Chi Hwang , Ruishan Liu

Large language models (LLMs) are increasingly deployed as conversational assistants in open-domain, multi-turn settings, where users often provide incomplete or ambiguous information. However, existing LLM-focused clarification benchmarks…

Computation and Language · Computer Science 2025-12-25 Sichun Luo , Yi Huang , Mukai Li , Shichang Meng , Fengyuan Liu , Zefa Hu , Junlan Feng , Qi Liu

Recent advances in Large Language Models (LLMs) have significantly enhanced their capabilities, highlighting the need for comprehensive evaluation frameworks that extend beyond task-specific benchmarks. However, existing benchmarks often…

Computation and Language · Computer Science 2025-09-30 Haosi Mo , Xinyu Ma , Xuebo Liu , Derek F. Wong , Yu Li , Jie Liu , Min Zhang

Large language models (LLMs) have demonstrated their remarkable performance across various language understanding tasks. While emerging benchmarks have been proposed to evaluate LLMs in various domains such as mathematics and computer…

Artificial Intelligence · Computer Science 2024-10-28 Junnan Dong , Zijin Hong , Yuanchen Bei , Feiran Huang , Xinrun Wang , Xiao Huang

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

There is widespread optimism that frontier Large Language Models (LLMs) and LLM-augmented systems have the potential to rapidly accelerate scientific discovery across disciplines. Today, many benchmarks exist to measure LLM knowledge and…

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

Continuing advances in Large Language Models (LLMs) in artificial intelligence offer important capacities in intuitively accessing and using medical knowledge in many contexts, including education and training as well as assessment and…

Computation and Language · Computer Science 2024-08-01 Roma Shusterman , Allison C. Waters , Shannon O`Neill , Phan Luu , Don M. Tucker

Large language models (LLMs) have attracted growing interest as supportive tools for psychiatric assessment and clinical decision support. However, existing mental health benchmarks largely rely on social media data or supportive dialogue…

Computation and Language · Computer Science 2026-05-19 Hoyun Song , Migyeong Kang , Jisu Shin , Jihyun Kim , Chanbi Park , Hangyeol Yoo , Jihyun An , Alice Oh , Jinyoung Han , KyungTae Lim

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…

Computation and Language · Computer Science 2026-03-04 Zixin Xiong , Ziteng Wang , Haotian Fan , Xinjie Zhang , Wenxuan Wang

Large language models (LLMs) have significantly advanced the field of artificial intelligence. Yet, evaluating them comprehensively remains challenging. We argue that this is partly due to the predominant focus on performance metrics in…

Computation and Language · Computer Science 2024-02-29 Julian Coda-Forno , Marcel Binz , Jane X. Wang , Eric Schulz

Cognitive Behavioral Therapy (CBT) is a well-established intervention for mitigating psychological issues by modifying maladaptive cognitive and behavioral patterns. However, delivery of CBT is often constrained by resource limitations and…

Artificial Intelligence · Computer Science 2024-07-30 Meng Jiang , Qing Zhao , Jianqiang Li , Fan Wang , Tianyu He , Xinyan Cheng , Bing Xiang Yang , Grace W. K. Ho , Guanghui Fu

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

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

Each day, individuals set behavioral goals such as eating healthier, exercising regularly, or increasing productivity. While psychological frameworks (i.e., goal setting and implementation intentions) can be helpful, they often need…

Human-Computer Interaction · Computer Science 2026-02-10 Michel Schimpf , Sebastian Maier , Anton Wyrowski , Lara Christoforakos , Stefan Feuerriegel , Thomas Bohné

Video-based large language models (Video-LLMs) have been recently introduced, targeting both fundamental improvements in perception and comprehension, and a diverse range of user inquiries. In pursuit of the ultimate goal of achieving…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Munan Ning , Bin Zhu , Yujia Xie , Bin Lin , Jiaxi Cui , Lu Yuan , Dongdong Chen , Li Yuan

Large language models (LLMs) offer emerging opportunities for psychological and behavioral research, but methodological guidance is lacking. This article provides a framework for using LLMs as psychological simulators across two primary…

Computers and Society · Computer Science 2026-04-07 Zhicheng Lin

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…

Computation and Language · Computer Science 2026-03-06 Ian Steenstra , Paola Pedrelli , Weiyan Shi , Stacy Marsella , Timothy W. Bickmore