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In the contemporary landscape of social media, an alarming number of users express negative emotions, some of which manifest as strong suicidal intentions. This situation underscores a profound need for trained psychological counselors who…

Artificial Intelligence · Computer Science 2023-08-30 Guanghui Fu , Qing Zhao , Jianqiang Li , Dan Luo , Changwei Song , Wei Zhai , Shuo Liu , Fan Wang , Yan Wang , Lijuan Cheng , Juan Zhang , Bing Xiang Yang

Many recent advances in natural language generation have been fueled by training large language models on internet-scale data. However, this paradigm can lead to models that generate toxic, inaccurate, and unhelpful content, and automatic…

The growing demand for accessible mental health support requires training more counselors, yet existing approaches remain resource-intensive and difficult to scale. LLMs can realistically simulate patients and generate actionable feedback…

Human-Computer Interaction · Computer Science 2026-03-10 Ryan Louie , Raj Sanjay Shah , Ifdita Hasan Orney , Juan Pablo Pacheco , Emma Brunskill , Diyi Yang

In feedback generation for logical errors in programming assignments, large language model (LLM)-based methods have shown great promise. These methods ask the LLM to generate feedback given the problem statement and a student's (buggy)…

Computation and Language · Computer Science 2024-05-10 Hasnain Heickal , Andrew Lan

Mental health is a growing global concern, prompting interest in AI-driven solutions to expand access to psychosocial support. \emph{Peer support}, grounded in lived experience, offers a valuable complement to professional care. However,…

Human-Computer Interaction · Computer Science 2026-04-10 Kellie Yu Hui Sim , Roy Ka-Wei Lee , Kenny Tsu Wei Choo

Young people's mental well-being is a global concern, with peer support playing a key role in daily emotional regulation. Conversational agents are increasingly viewed as promising tools for delivering accessible, personalised peer support,…

Human-Computer Interaction · Computer Science 2025-12-01 Ruoyu Wen , Xiaoli Wu , Kunal Gupta , Simon Hoermann , Mark Billinghurst , Alaeddin Nassani , Dwain Allan , Thammathip Piumsomboon

Mental health care poses an increasingly serious challenge to modern societies. In this context, there has been a surge in research that utilizes information technologies to address mental health problems, including those aiming to develop…

Computation and Language · Computer Science 2024-02-21 Michimasa Inaba , Mariko Ukiyo , Keiko Takamizo

Millions of people participate in online peer-to-peer support sessions, yet there has been little prior research on systematic psychology-based evaluations of fine-grained peer-counselor behavior in relation to client satisfaction. This…

Human-Computer Interaction · Computer Science 2022-11-11 Raj Sanjay Shah , Faye Holt , Shirley Anugrah Hayati , Aastha Agarwal , Yi-Chia Wang , Robert E. Kraut , Diyi Yang

Millions of users come to online peer counseling platforms to seek support. However, studies show that online peer support groups are not always as effective as expected, largely due to users' negative experiences with unhelpful counselors.…

Human-Computer Interaction · Computer Science 2025-03-14 Shang-Ling Hsu , Raj Sanjay Shah , Prathik Senthil , Zahra Ashktorab , Casey Dugan , Werner Geyer , Diyi Yang

Peer-run organizations (PROs) provide critical, recovery-based behavioral health support rooted in lived experience. As large language models (LLMs) enter this domain, their scale, conversationality, and opacity introduce new challenges for…

Human-Computer Interaction · Computer Science 2026-02-10 Cindy Peng , Megan Chai , Gao Mo , Naveen Raman , Ningjing Tang , Shannon Pagdon , Margaret Swarbrick , Nev Jones , Fei Fang , Hong Shen

Large Language Models (LLMs) offer a promising basis for creating agents that can tackle complex tasks through iterative environmental interaction. Existing methods either require these agents to mimic expert-provided trajectories or rely…

Computation and Language · Computer Science 2024-12-02 Dihong Gong , Pu Lu , Zelong Wang , Meng Zhou , Xiuqiang He

Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large language models (LLMs) have motivated methods that assist or automate different…

Computation and Language · Computer Science 2026-05-05 Sihong Wu , Owen Jiang , Yilun Zhao , Tiansheng Hu , Yiling Ma , Kaiyan Zhang , Manasi Patwardhan , Arman Cohan

Large language models have made significant progress in the past few years. However, they are either generic {\it or} field specific, splitting the community into different groups. In this paper, we unify these large language models into a…

Computer Vision and Pattern Recognition · Computer Science 2023-07-26 Yuanhao Gong

Research demonstrates learners engaging in the process of producing explanations to support their reasoning, can have a positive impact on learning. However, providing learners real-time explanatory feedback often presents challenges…

Computation and Language · Computer Science 2023-06-28 Jionghao Lin , Danielle R. Thomas , Feifei Han , Shivang Gupta , Wei Tan , Ngoc Dang Nguyen , Kenneth R. Koedinger

Large Transformer-based language models can aid human authors by suggesting plausible continuations of text written so far. However, current interactive writing assistants do not allow authors to guide text generation in desired topical…

Computation and Language · Computer Science 2021-03-30 Haw-Shiuan Chang , Jiaming Yuan , Mohit Iyyer , Andrew McCallum

Large language models (LLMs) can generate fluent dialogue, but prior works lack situational grounding, dynamic strategy control, and evaluation aligned with clinical standards in motivational interviewing (MI). We introduce StoryMI, a…

Computation and Language · Computer Science 2026-05-28 Qingyu Meng , Min Chen , Dingming Liu , Yifan Mo , Yue Su , Xin Sun , Koen Hindriks , Jiahuan Pei

Effectively addressing client resistance is a sophisticated clinical skill in psychological counseling, yet practitioners often lack timely and scalable supervisory feedback to refine their approaches. Although current NLP research has…

Computation and Language · Computer Science 2026-02-26 Anqi Li , Ruihan Wang , Zhaoming Chen , Yuqian Chen , Yu Lu , Yi Zhu , Yuan Xie , Zhenzhong Lan

Learning therapeutic counseling involves significant role-play experience with mock patients, with current manual training methods providing only intermittent granular feedback. We seek to accelerate and optimize counselor training by…

Human-Computer Interaction · Computer Science 2025-02-27 Ian Steenstra , Farnaz Nouraei , Timothy W. Bickmore

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

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

Computation and Language · Computer Science 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu
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