40 citations · 47 across the 12 of their papers we have counts for
5 papers · 1 filter
SSR: Can Simulated Patients Learn to Stigmatize Themselves? Modeling Self-Stigma through Internal Monologue
Kunyao Lan, Bingrui Jin, Zichen Zhu +1
Simulating patients with large language models (LLMs) is a promising tool for mental health training, but existing approaches fail to capture a key clinical reality: self-stigma. P…
Synthetic or Authentic? Building Mental Patient Simulators from Longitudinal Evidence
Baihan Li, Bingrui Jin, Kunyao Lan +2
Patient simulation is essential for developing and evaluating mental health dialogue systems. As most existing approaches rely on snapshot-style prompts with limited profile inform…
Delusions of Large Language Models
Hongshen Xu, Zixv yang, Zichen Zhu +7
Large Language Models often generate factually incorrect but plausible outputs, known as hallucinations. We identify a more insidious phenomenon, LLM delusion, defined as high beli…
Depression Diagnosis Dialogue Simulation: Self-improving Psychiatrist with Tertiary Memory
Kunyao Lan, Bingrui Jin, Zichen Zhu +4
Mental health issues, particularly depressive disorders, present significant challenges in contemporary society, necessitating the development of effective automated diagnostic met…
LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation
Siyuan Chen, Mengyue Wu, Kenny Q. Zhu +3
Empowering chatbots in the field of mental health is receiving increasing amount of attention, while there still lacks exploration in developing and evaluating chatbots in psychiat…