AI RESEARCH
GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented Reasoning
arXiv CS.AI
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ArXi:2508.05498v2 Announce Type: replace Large Language Models (LLMs) integrated with Retrieval-Augmented Generation (RAG) techniques have exhibited remarkable performance across a wide range of domains. However, existing RAG approaches primarily operate on unstructured data and nstrate limited capability in handling structured knowledge such as knowledge graphs.