5 papers
Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs
Aishik Mandal, Hiba Arnaout, Clarissa W. Ong +5
Rising demand for mental health support has increased interest in using Large Language Models (LLMs) for counseling. However, adapting LLMs to this high-risk safety-critical domain…
InsightFlow: LLM-Driven Synthesis of Patient Narratives for Mental Health into Causal Models
Shreya Gupta, Prottay Kumar Adhikary, Bhavyaa Dave +3
Clinical case formulation organizes patient symptoms and psychosocial factors into causal models, often using the 5P framework. However, constructing such graphs from therapy trans…
coTherapist: A Behavior-Aligned Small Language Model to Support Mental Healthcare Experts
Prottay Kumar Adhikary, Reena Rawat, Tanmoy Chakraborty
Access to mental healthcare is increasingly strained by workforce shortages and rising demand, motivating the development of intelligent systems that can support mental healthcare…
MAGneT: Coordinated Multi-Agent Generation of Synthetic Multi-Turn Mental Health Counseling Sessions
Aishik Mandal, Tanmoy Chakraborty, Iryna Gurevych
The growing demand for scalable psychological counseling highlights the need for high-quality, privacy-compliant data, yet such data remains scarce. Here we introduce MAGneT, a nov…
A Comprehensive Review of Datasets for Clinical Mental Health AI Systems
Aishik Mandal, Prottay Kumar Adhikary, Hiba Arnaout +2
Mental health disorders are rising worldwide. However, the availability of trained clinicians has not scaled proportionally, leaving many people without adequate or timely support.…