3 papers
cs.CL2026
LingShu: A Large-Scale Symptom-Centric Contextualized Knowledge Graph Bridging Traditional Chinese Medicine and Modern Biomedicine
Rui Hua, Zixin Shu, Kai Chang +18
Biomedical knowledge graphs (KGs) are pivotal for knowledge organization, yet traditional binary relations often struggle to represent the conditional nature of biomedical knowledg…
cs.AI2026
LingLanMiDian: Systematic Evaluation of LLMs on TCM Knowledge and Clinical Reasoning
Rui Hua, Yu Wei, Zixin Shu +33
Large language models (LLMs) are advancing rapidly in medical NLP, yet Traditional Chinese Medicine (TCM) with its distinctive ontology, terminology, and reasoning patterns require…
cs.IR2025
Do Large Language Models Favor Recent Content? A Study on Recency Bias in LLM-Based Reranking
Hanpei Fang, Sijie Tao, Nuo Chen +2
Large language models (LLMs) are increasingly deployed in information systems, including being used as second-stage rerankers in information retrieval pipelines, yet their suscepti…