CLEAR: Cross-Source Evidence Adjudication for Large Language Models in Medicine
cs.AI, cs.CL
Submitted: 2026-09-14
Updated: 2026-09-14
Comments: 31 pages
Code: https://github.com/Yale-BIDS-Chen-Lab/Agentic-Adjudication-for-Medical-Reasoning
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GPT-4 Technical Report
- HealthBench: Evaluating Large Language Models Towards Improved Human Health
- BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
- MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
- Large Language Models Lack Temporal Awareness of Medical Knowledge
- Measuring Massive Multitask Language Understanding
- Rethinking Retrieval-Augmented Generation for Medicine: A Large-Scale, Systematic Expert Evaluation and Practical Insights
- MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models
- Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems
- Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
- LLaMA: Open and Efficient Foundation Language Models
- Baichuan-M1: Pushing the Medical Capability of Large Language Models
- Retrieval-augmented systems can be dangerous medical communicators
- From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
- Corrective Retrieval Augmented Generation
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