collaborators

5 papers

cs.AI2026

Initial Risk Probing and Feasibility Testing of Glow: a Generative AI-Powered Dialectical Behavior Therapy Skills Coach for Substance Use Recovery and HIV Prevention

Liying Wang, Madison Lee, Yunzhang Jiang +6

Background: HIV and substance use represent interacting epidemics with shared psychological drivers - impulsivity and maladaptive coping. Dialectical behavior therapy (DBT) targets…

cs.HC2025

Cultural Prompting Improves the Empathy and Cultural Responsiveness of GPT-Generated Therapy Responses

Serena Jinchen Xie, Shumenghui Zhai, Yanjing Liang +4

Large Language Model (LLM)-based conversational agents offer promising solutions for mental health support, but lack cultural responsiveness for diverse populations. This study eva…

cs.AI2025

Large Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context Learning

Liying Wang, Ph. D., Daffodil Carrington +8

Family caregivers often face substantial mental health challenges due to their multifaceted roles and limited resources. This study explored the potential of a large language model…

cs.AI2025

Transforming Tuberculosis Care: Optimizing Large Language Models For Enhanced Clinician-Patient Communication

Daniil Filienko, Mahek Nizar, Javier Roberti +5

Tuberculosis (TB) is the leading cause of death from an infectious disease globally, with the highest burden in low- and middle-income countries. In these regions, limited healthca…

cs.CL2024

Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy

Daniil Filienko, Yinzhou Wang, Caroline El Jazmi +4

While Large Language Models (LLMs) are being quickly adapted to many domains, including healthcare, their strengths and pitfalls remain under-explored. In our study, we examine the…