most citedShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine

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

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cs.CL20253 cited

ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine

Junying Chen, Zhenyang Cai, Zhiheng Liu +10

Despite the success of large language models (LLMs) in various domains, their potential in Traditional Chinese Medicine (TCM) remains largely underexplored due to two critical barr…

cs.CL2025

PrinciplismQA: A Philosophy-Grounded Approach to Assessing LLM-Human Clinical Medical Ethics Alignment

Chang Hong, Minghao Wu, Qingying Xiao +5

As medical LLMs transition to clinical deployment, assessing their ethical reasoning capability becomes critical. While achieving high accuracy on knowledge benchmarks, LLMs lack v…

cs.CL2025

Do LLMs Triage Like Clinicians? A Dynamic Study of Outpatient Referral

Xiaoxiao Liu, Qingying Xiao, Bingquan Zhang +8

Outpatient referral (OR) is a core clinical workflow that assigns patients to hospital departments under incomplete and evolving information, yet it is commonly simplified as a sta…

cs.CL20242 cited

An Empirical Study on Information Extraction using Large Language Models

Ridong Han, Chaohao Yang, Tao Peng +4

Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (…

cs.CL20241 cited

CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis

Junying Chen, Chi Gui, Anningzhe Gao +4

The field of medical diagnosis has undergone a significant transformation with the advent of large language models (LLMs), yet the challenges of interpretability within these model…

cs.CL20243 cited

LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them

Wenya Xie, Qingying Xiao, Yu Zheng +7

The recent success of Large Language Models (LLMs) has had a significant impact on the healthcare field, providing patients with medical advice, diagnostic information, and more. H…