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cs.CL2026
From Documents to Spans: Span-Centric Learning for LLM-based Explainable Medical Coding
Xu Zhang, Wenxin Ma, Chenxu Wu +5
Medical coding, which assigns standardized ICD codes to clinical documents, is a fundamental yet challenging task in modern healthcare. It requires extensive knowledge of a large c…
cs.CL2025
MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
Jiayi He, Yangmin Huang, Qianyun Du +5
Deploying Large Language Models (LLMs) in medical applications requires fact-checking capabilities to ensure patient safety and regulatory compliance. We introduce MedFact, a chall…
cs.CL2025
EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
Shuguang Zhao, Qiangzhong Feng, Zhiyang He +8
Medical consultation dialogues contain critical clinical information, yet their unstructured nature hinders effective utilization in diagnosis and treatment. Traditional methods, r…