ARMED: Adaptive Retrieval-Augmented Medication Recommendation
cs.LG, cs.AI, cs.CL, cs.IR
Submitted: 2026-10-12
Updated: 2026-10-12
Comments: Accepted at ICTAI 2026
Code: https://github.com/ollama/ollama
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
- Medical Hallucinations in Foundation Models and Their Impact on Healthcare
- PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendation
- SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- Corrective Retrieval Augmented Generation
- Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
- Active Retrieval Augmented Generation
- RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- Qwen3 Technical Report
- Qwen2.5 Technical Report
- The Faiss library
- MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
- MedGemma 1.5 Technical Report
- Gemma 3 Technical Report
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
- EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
- Ministral 3
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