. . . . "Published as a conference paper at ICLR 2025 SIMPLE IS EFFECTIVE: THE ROLES OF GRAPHS AND LARGE LANGUAGE MODELS IN KNOWLEDGE-GRAPH-BASED RETRIEVAL-AUGMENTED GENERATION" . . . . . . . . . . . . . . . "Cosine Similarity Retriever" . . "EtD" . . "GNN-RAG" . . "G-Retriever" . . "KD-CoT" . . "Retrieve-Rewrite-Answer" . . "RoG" . . "SR+NSM w E2E" . . "StructGPT" . . . "SubgraphRAG is a KG-based RAG framework that retrieves relevant subgraphs from KGs using a lightweight MLP with Directional Distance Encoding (DDE) and parallel triple-scoring. It then employs unfine-tuned LLMs, guided by tailored prompts, to reason over the retrieved subgraphs, reducing hallucinations and improving answer grounding during the inference stage." . "SubgraphRAG" . . . "ToG" . . "UniKGQA" . . . "2026-02-26T15:56:32.199Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2410.20724" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "OzeFgEMdeXv67kjp4vSyn9hxAiwTKdgdA2rLqOt+rzUbAQehurfydeoyupsJmUnIk2g/oXYj8RIVINHNeJNkdqK4PfLrxpiqVrvEtspfMTqs4OBqVFU5dvPp8PmqwBUf1+lWy2YLYvLHGmbEDoxxFUZICxvSv8Daq/s2HMiy41+6ZijAecqOuPizqlaZRHBGe+bmpS4OvDwm6tquq0Gdyc9UCksXnvvnO87UUDiU8ttOhBK/+gTGwBpz1L5tQteXsve5x5p+97CFgWDwcia+8tzx5egAb/zUn7Y2ikxuoPi7YQKBrZLIRB4MGki8QDrNnX5cUcQwd9c4p9bNFIfIeg==" . . .