. . . . "FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering" . . . . . . . . . . . . . . "DeCAF" . . . "Deductive-Verification Beam Search (DVBS) is a core component of FiDeLiS that constructs and validates reasoning paths step-by-step. It uses LLM-generated planning to guide the beam search and employs an LLM-based deductive verification mechanism (local and global checks) to ensure logical consistency and factual correctness, enabling synergized reasoning with LLMs and KGs." . "Deductive-Verification Beam Search" . . . "https://github.com/Y-Sui/FiDeLiS"^^ . . "FiDeLiS is a unified, training-free framework designed to improve the factual accuracy and reasoning efficiency of LLM responses in KGQA. It grounds LLM answers in verifiable reasoning steps from KGs by integrating the Path-RAG and Deductive-Verification Beam Search modules, representing a synergized approach to reasoning with both LLMs and KGs." . "FiDeLiS" . . . "GCR" . . "KAPING" . . "KD-CoT" . . "NSM" . . . "Path-RAG is a retrieval-augmented generation module within the FiDeLiS framework that pre-selects a smaller candidate set of entities and relations from the KG for each beam search step. It combines LLM-generated keywords, semantic similarity, and KG structural connectivity to efficiently narrow the search space and support the overall synergized reasoning process." . "Path-RAG" . . . "RoG" . . "ToG" . . "Vanilla Retriever" . . . "2026-02-26T15:28:37.895Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2405.13873" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "dRGVmvPvYFSPGD1F+yQQiVICRb29j2Vd3MrdWCrvjFeFFstHdiLvWYw2Yo4W8rc8iyiBfisiDjU1qiP27kb3/iBsOUtEHHbtpc0MMuLCBFYwIeln4lu76iG65XK3MOGzX8xbpcW2MoPPbWvGx7un/qiNCniANTtMv0Xm42zSU01YVRS4OBmUbQjb1u5KfyrrEH5G/ch7Csn2bYfdanwrSkK4lO9FJ8fbOq5LBTNsxsV8xNpsNl36AHNSd03ecVhWaxK4FGsufBrgH3Z/JeMfbfbR1CR1WIrbN75O5t8lFgbGTU8dAfq+BeNenmS52kl5rwR+PJ40lblEM+42NQrfLg==" . . .