10 papers
Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
Yuanyuan Sun, Timothy Parker, Lara Gierschmann +5
Emerging AI regulations assign distinct obligations to different actors along the AI value chain (e.g., the EU AI Act distinguishes providers and deployers for both AI models and A…
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…
MediRec: Enhancing Chinese Medication Recommendation with Explainable Clinical Reasoning
Juntao Li, Haobin Yuan, Ling Luo +7
Large language models (LLMs) have shown strong potential for clinical decision support through their advanced language understanding and reasoning capabilities. However, their appl…
CommonVoice-SpeechRE and RPG-MoGe: Advancing Speech Relation Extraction with a New Dataset and Multi-Order Generative Framework
Jinzhong Ning, Paerhati Tulajiang, Yingying Le +4
Speech Relation Extraction (SpeechRE) aims to extract relation triplets directly from speech. However, existing benchmark datasets rely heavily on synthetic data, lacking sufficien…
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…
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…