2025
PropRAG: Guiding Retrieval with Beam Search over Proposition Paths
EMNLP 2025
Retrieval Augmented Generation (RAG) has become the standard approach for equipping Large Language Models (LLMs) with up-to-date knowledge. However, standard RAG, relying on independent passage retrieval, often fails to capture the interconnected nature of information required for complex, multi-hop