4 papers
Lingdan-V2: Large language models for clinically grounded reasoning in traditional Chinese medicine
Rui Hua, Yu Wei, Ziri Jin +15
Large language models have advanced medical reasoning, but clinically grounded reasoning in traditional Chinese medicine (TCM) remains challenging because prescription decisions re…
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…
LingLanMedBench: A Unified Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine
Rui Hua, Yu Wei, Zixin Shu +33
Reliable evaluation of large language models in traditional Chinese medicine remains limited because existing benchmarks mainly focus on examination-style question answering or iso…
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…