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20232026
most citedMedKGEval: A Knowledge Graph-Based Multi-Turn Evaluation Framework for Open-Ended Patient Interactions with Clinical LLMs

1 citations · 1 across the 3 of their papers we have counts for

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cs.AI2025★ 1 cited

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…

cs.CL2025

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…