. . . . "RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs" . . . . . . . . . . . . . . . . . . . . . . "Chain-of-Thought prompting (CoT)" . . "EPR" . . "GCR" . . "Interactive-KBQA" . . "KG-Agent" . . "KG-CoT" . . "PoG" . . "RD-P" . . "ReasoningLM" . . "ReKnoS" . . . "RJE is a novel framework that synergizes KG retrieval with LLM reasoning for Knowledge Graph Question Answering. It integrates a multi-stage process of retrieval, judgment by an LLM, and conditional exploration, where LLMs act as agents interacting with the KG to conduct multi-hop reasoning and answer generation. This approach aims to mutually enhance both LLM performance (especially for smaller models) and KGQA efficiency." . "RJE: A Retrieval-Judgment-Exploration Framework" . . . "RoG" . . "Self-Consistency (SC)" . . "SR" . . "Standard Prompting (IO prompt)" . . "StructGPT" . . "SubgraphRAG" . . "ToG" . . "UniKGQA" . . . "2026-02-26T16:06:49.300Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2510.01257" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "L4eMN/kfMOSw3oMR3CuMfoAycfUBLuGUO1/HJS8/zuEExYDUBNN3qz2VREBN6YeeWO+owMUC9Z/9mr3h4Zsvt3ScB7FXc9JMHHld0YmihsyIN76jsX+BBg2rgJkvrsVZxz64wiiPdA6CHmxhvUsqq4Q5YcYOh/iBqU2qZ43Bjm7uPlJfSQ1yoMqjcIyCQQwpZ+JNqZv6vjqdsXlTgz8HYCF334399hprNp5+O3eRlYcrqNhGLHSvTLMrCD4xSnKSTYlI/i2w01t5zdXDw2REMtI8H49enRoSyZ7YF7vD5M1Ljb/xARgIlN44DzwR/vfCO/fXCg/0HTo594P74WN7lw==" . . .