. . . . "KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Alpaca-7B" . . "ArcaneQA" . . "BM25 Retriever" . . "Chain-of-Thought (CoT) prompting" . . "ChatGPT" . . "EmbedKGQA" . . "Embedding Retriever" . . "Flan-T5" . . "GPT-4" . . "GraftNet" . . "KD-CoT" . . "KELP" . . . "KG-TRACES is a unified framework that trains LLMs with explicit supervision from Knowledge Graph-derived paths and attribution-aware reasoning processes. This enables the LLM to perform structured, explainable, and attributable reasoning by internalizing KG-aligned reasoning patterns and generating explanations that are grounded in KG facts or inferred knowledge. This approach synergizes LLMs and KGs by teaching the LLM to effectively conduct reasoning with both." . "KG-TRACES" . . . "KGT5" . . "KV-Mem" . . "LLaMA3.1-Chat-8B" . . "MindMap" . . "NSM" . . "PullNet" . . "QGG" . . "Qwen2.5-Chat-7B" . . "ReAct" . . "Reasoning on Graphs (RoG)" . . "RnG-KBQA" . . "Self-consistency" . . "SR+NSM+E2E" . . "SR+NSM" . . "Think-on-Graph (ToG)" . . "Think-on-Graph 2.0" . . "TransferNet" . . "Tree-of-Thought (ToT)" . . "UniKGQA" . . . "2026-02-26T15:21:12.619Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2506.00783" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "MwjqsZJnyg4yXRi09nvH91jZV96dy15A3MRsyuUfnJjKggtcgjgaatxzEBEaXw0p1sKgTqHMp4AP2v0VQalb4z6T6b71OWFBqt7DxRzhr4gvYMhinvTyiTaF3wE7LrbfEVicd/iI1jW1RG+wNTipJHr2gBf/UntKkZfGVQoBHd5LJe+F/FAAjffX8/3cFTgUS4pvDBz8cJ0Oc64b9rNvm8ggiO+pYXWjkgCZua7baEpChgfeOhBuoIPGiMqBY8gbwaE8cVFLUlrBATPnti15rjo3tsTqq3ACwH49YqvS2MOefthdXeQinIU9l2pOWWjNY2hVJsdBW4bfDa3lVF7x0A==" . . .