5 papers
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…
Ethical Risks of Large Language Models in Medical Consultation: An Assessment Based on Reproductive Ethics
Hanhui Xu, Jiacheng Ji, Haoan Jin +2
Background: As large language models (LLMs) are increasingly used in healthcare and medical consultation settings, a growing concern is whether these models can respond to medical…
A Human-Centric Pipeline for Aligning Large Language Models with Chinese Medical Ethics
Haoan Jin, Han Ying, Jiacheng Ji +2
Recent advances in large language models have enabled their application to a range of healthcare tasks. However, aligning LLMs with the nuanced demands of medical ethics, especiall…
MedKGEval: A Knowledge Graph-Based Multi-Turn Evaluation Framework for Open-Ended Patient Interactions with Clinical LLMs
Yuechun Yu, Han Ying, Haoan Jin +5
The reliable evaluation of large language models (LLMs) in medical applications remains an open challenge, particularly in capturing the complexity of multi-turn doctor-patient int…