. . . . "Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs" . . . . . . . . . . . . . . . . . . . . . . . . . "ChatGPT+CoT" . . "EmbedKGQA" . . "GraftNet" . . "KD-CoT" . . "KG-CoT" . . "KGT5" . . "KV-Mem" . . "NSM" . . "PullNet" . . . "RRP is proposed to enhance LLM reasoning for knowledge-intensive tasks by distilling effective guidance from Knowledge Graphs. It operates during the inference stage by generating, refining, and prioritizing relevant reasoning paths from KGs, which are then fed to the LLM. This framework aims to reduce hallucination and improve factual consistency in LLM outputs without requiring retraining." . "Reliable Reasoning Path (RRP)" . . . "RoG" . . "SR" . . "SR+NSM" . . "SR+NSM+E2E" . . "SubgraphRAG" . . "SubgraphRAG+ChatGPT" . . "SubgraphRAG+LLaMA3-8B" . . "ToG" . . "ToG+ChatGPT" . . "ToG+LLaMA2-70B" . . "TransferNet" . . "UniKGQA" . . . "2026-02-26T15:59:50.662Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2506.10508" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "iNBuHzM89C0ihYAnUQJcDpifu4i5rrDX+KY58FNahDoe9tmWswKcp30CW0/l9tjRcwAK8rgJi1V+R2wF2vuiRkMbmzA8BmsY7TD4y3OUNHpneyMglpm7rrS91RdvRiqA7X2ynT//P5qH0k4ZBlDthNcGs1Z8bDqKsIlSnzPHJZ1S3cdb7z/epClh8hZiQpUUMPqHm2XtQNkLCS40/Nu93ahR1WpE5Fw5Re5UvcWlmbHCuInVYp/8S1qNGfytH/laYAoEP6IlltplkHfNp0dD0butmZKz2CZ+GN7pRPZOFpFJvlxO9qmH4KurniLIefe1AiDQn1E8jxx0qYyUUDtghw==" . . .