Our mission
AIMH (AI for Mental Health) is a research community dedicated to utilizing AI to empower mental health. Our work spans natural language processing and extends into broader AI applications, with a focus on developing innovative solutions for mental health challenges.
Through rigorous research and open collaboration, we aim to bridge the gap between technology and clinical practice, ultimately improving outcomes for individuals worldwide. Join us on Discord and explore our latest datasets and models on Hugging Face.
Events
Co-located with AACL 2026.
Detecting and classifying psychological defense mechanisms in emotional support dialogues, grounded in the clinically validated Defense Mechanism Rating Scales (DMRS) framework.
Our works
Psychological Defense Mechanisms in Supportive Conversations: a dialogue corpus with help-seeker utterances labeled for defense level, and DMRS Co-Pilot, a four-stage pipeline that provides evidence-based pre-annotations.
Roleplaying with Structure: Synthetic Therapist-Client Conversation Generation from Questionnaires, with the SQPsychConv corpora and SQPsychLLM models.
Reddit SuicideWatch and Mental Health Collection: a comprehensive dataset collected from Reddit for mental health research.
Publicly available pretrained language models: a collection of encoder-only models pretrained for mental health applications.
Contributors
Our research community comprises researchers from diverse institutions worldwide, including the ELLIS Institute Finland, University of Turku, University of Technology Sydney, Technical University of Darmstadt, Xi’an Jiaotong-Liverpool University, and The University of Manchester, bringing expertise in AI, NLP, and mental health.
* Contributors are listed in alphabetical order by last name.
We are always looking for passionate researchers and collaborators. Whether you are interested in AI, NLP, clinical psychology, or computational psychiatry, come say hi!
Omni Language AI Research