[2403.14403] Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

The Adaptive-RAG framework proposes a novel adaptive QA framework that dynamically selects the most suitable strategy for retrieval-augmented large language models based on query complexity. It enhances the overall efficiency and accuracy of QA systems.