Retrieval-Augmented Generation (RAG) enhances Large Language Models by grounding their responses in external knowledge, yet existing approaches struggle with complex reasoning tasks that require combining multiple sources of information. Although recent multi-retrieval methods integrate iterative re...
Applications
Machine Learning and Large Language Models
System aspectsDoctoral Consortium