most citedOverview of CHIP 2025 Shared Task 2: Discharge Medication Recommendation for Metabolic Diseases Based on Chinese Electronic Health Records

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Tool-Augmented Large Language Models for Reliable Medical Calculation from Patient Notes

Yang Zhong, Ling Luo, Xuanlyu Zhu +4

Medical calculators translate raw patient observations into clinically actionable values and scores. However, applying these calculators directly to free-form patient notes require…

cs.CL2026

RexDrug: Reliable Multi-Drug Combination Extraction through Reasoning-Enhanced LLMs

Zhijun Wang, Ling Luo, Dinghao Pan +4

Automated Drug Combination Extraction (DCE) from large-scale biomedical literature is crucial for advancing precision medicine and pharmacological research. However, existing relat…

cs.CL2025★ 2 cited

Overview of CHIP 2025 Shared Task 2: Discharge Medication Recommendation for Metabolic Diseases Based on Chinese Electronic Health Records

Juntao Li, Haobin Yuan, Ling Luo +8

Discharge medication recommendation plays a critical role in ensuring treatment continuity, preventing readmission, and improving long-term management for patients with chronic met…

cs.CL2025

MedTrust-RAG: Evidence Verification and Trust Alignment for Biomedical Question Answering

Yingpeng Ning, Yuanyuan Sun, Ling Luo +3

Biomedical question answering (QA) requires accurate interpretation of complex medical knowledge. Large language models (LLMs) have shown promising capabilities in this domain, wit…

cs.CL2025

MediRec: Enhancing Chinese Medication Recommendation with Explainable Clinical Reasoning

Juntao Li, Haobin Yuan, Ling Luo +3

Large language models (LLMs) have shown strong potential for clinical decision support through their advanced language understanding and reasoning capabilities. However, their appl…