. . . . "Enhancing Large Language Models with Pseudoand Multisource-Knowledge Graphs for Open-ended Question Answering" . . . . . . . . . "Chain-of-Thought (CoT)" . . "IO Prompt" . . . "PG&AKV is a framework designed to enhance LLM performance during inference, specifically for open-ended and precise question answering. It leverages LLMs to generate a preliminary knowledge framework (pseudo-graph) and then uses external KGs for atomic-level knowledge querying and verification. The refined knowledge from KGs mitigates LLM hallucinations and improves answer accuracy without retraining, aligning with the goal of KGEnhancedLLMInference." . "Pseudo-Graph Generation and Atomic Knowledge Verification (PG&AKV)" . . . "Retrieval-Augmented Generation (RAG)" . . "Self-Consistency (SC)" . . "Think on Graph (ToG)" . . . "2026-02-26T15:45:52.930Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2402.09911" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "JKk9iTyYFMKs38NFNpOVUn0OmCLQq4r9OnU6V+9aN0WcEebtrUxplapE+qNyT3LBwSbhMjk+2ucm2i+sz0M9FnmvXmN5DcT+laC7EuxspfWDrN2sjjTV6VP4IUt0FQn0jDWve9yW/Jbspn1VQhUPFsdLDEWF6OI0B6ZIGHIYIUW9zWkMaAOC2NFrA+cJ02+y1xXbHWuUu5rt4zNi7pGuS5PWjWSCzTBIC+0wukagXQy7T2Gimqhbcf+YyKrvD1h8Un1aMQ/Y3uNpc/UgQxpJs+Z1Ixt7Y/ybx+AmpTmcrs2ZGqeaNNi9Ac57u8kr6WEEbmopHB3pg/8eTprvq2ax4A==" . . .