2026
Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
ICML 2026poster
Retrieval-Augmented Generation (RAG) mitigates hallucination in LLMs by incorporating external knowledge, but relies on chunk-based retrieval that lacks structural semantics. GraphRAG methods improve RAG by modeling knowledge as entity-relation graphs, but still face challenges in high construction …