most citedRetrieval-Augmented Generation in Biomedicine: A Survey of Technologies, Datasets, and Clinical Applications

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cs.CL2026

HealMed: Multilingual Evaluation of Large Language Models in Medicine

Yingjian Chen, Fan Gao, Sherry T. Tong +42

We present HealMed, an expert-reviewed benchmark for multilingual evaluation of large language models in medicine. HealMed contains 1,000 examples in each of nine languages, drawn…

cs.CL2026

CMT-RAG: Complementary Memory Traces for Multi-turn Multi-hop RAG

Lang Zhou, Yingjian Chen, Shuxuan Li +2

Multi-turn information-seeking conversations require both multi-hop reasoning and long-range dependency tracking across turns. However, existing RAG systems typically represent con…

cs.CL2026

Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models

Xiaojie Gu, Sherry T. Tong, Aosong Feng +8

Evaluating the reasoning abilities of large language models (LLMs) solely from final answers can obscure failures in intermediate steps, especially in multi-hop QA benchmarks witho…

cs.CL2026

From Chains to Graphs: Self-Structured Reasoning for General-Domain LLMs

Yingjian Chen, Haoran Liu, Yinhong Liu +7

Large Language Models (LLMs) show strong reasoning ability in open-domain question answering, yet their reasoning processes are typically linear and often logically inconsistent. I…

cs.CL2026★ 1 cited

Toward Global Large Language Models in Medicine

Rui Yang, Huitao Li, Weihao Xuan +47

Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LLMs) has transformed…

cs.CL2025

Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations

Rui Yang, Matthew Yu Heng Wong, Huitao Li +13

The rapid growth of medical knowledge and increasing complexity of clinical practice pose challenges. In this context, large language models (LLMs) have demonstrated value; however…