1 citations · 1 across the 3 of their papers we have counts for
5 papers
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…
MedEthicEval: Evaluating Large Language Models Based on Chinese Medical Ethics
Haoan Jin, Jiacheng Shi, Hanhui Xu +2
Large language models (LLMs) demonstrate significant potential in advancing medical applications, yet their capabilities in addressing medical ethics challenges remain underexplore…
PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models
Haoan Jin, Siyuan Chen, Dilawaier Dilixiati +3
Evaluating Large Language Models (LLMs) in the mental health domain poses distinct challenged from other domains, given the subtle and highly subjective nature of symptoms that exh…