activity
20242026
most citedA Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions

5 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2026

Sources of Truth: A Multi-Platform, Multilingual Audit of Citations in AI Mental Health Information Queries

Phuong Anh Nguyen, Jill Noorily, Matthew Flathers +7

Online health information seeking is shifting from keyword search, where users consider a ranked list of links, to conversational systems that compose a single answer and curate it…

cs.CL2026

HealthBench-Psych: A Mental Health Subset of OpenAI's HealthBench

Matthew Flathers, Phuong Anh Nguyen, Jill Noorily +7

General-purpose health benchmarks increasingly anchor claims about LLM medical performance, but they are not always resolved by clinical specialty, making domain-specific performan…

cs.CL2025

You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations

Hongbin Na, Zimu Wang, Zhaoming Chen +9

Psychological defenses are strategies, often automatic, that people use to manage distress. Rigid or overuse of defenses is negatively linked to mental health and shapes what speak…

cs.AI2025

Optimizing Large Language Models for Detecting Symptoms of Comorbid Depression or Anxiety in Chronic Diseases: Insights from Patient Messages

Jiyeong Kim, Stephen P. Ma, Michael L. Chen +8

Patients with diabetes are at increased risk of comorbid depression or anxiety, complicating their management. This study evaluated the performance of large language models (LLMs)…

cs.CL2025★ 5 cited

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions

Hongbin Na, Yining Hua, Zimu Wang +6

Mental health is increasingly critical in contemporary healthcare, with psychotherapy demanding dynamic, context-sensitive interactions that traditional NLP methods struggle to cap…

cs.AI2024★ 4 cited

Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks

Yining Hua, Hongbin Na, Zehan Li +4

Large language models (LLMs) are emerging as promising tools for mental health care, offering scalable support through their ability to generate human-like responses. However, the…