. . . . "ReGraM: Region-First Knowledge Graph Reasoning for Medical Question Answering" . . . . . . . . . . . . . . . . "Chain-of-Thought" . . "GraphRAG" . . "JointLK" . . "KGARevion" . . "Med-GraphRAG" . . "MedReason" . . "Ontology-Guided KGQA" . . "QAGNN" . . "ReAct" . . . "ReGraM is a framework designed to improve the factual accuracy and consistency of Large Language Models (LLMs) in Medical Question Answering. It achieves this by constructing query-aligned subgraphs from a Knowledge Graph (KG) and constraining the LLM's reasoning exclusively within this localized region during the inference phase. This approach directly enhances the LLM's performance on a specific task (QA) by providing structured, relevant external knowledge and guiding its multi-hop reasoning." . "ReGraM" . . . "Reflexion" . . "STaR" . . "SelfCheck" . . . "2026-02-26T16:32:28.285Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2601.09280" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "Il0I/EUxW4IzfNtMb1YTmqpj6UzOaj/BXyZ9sBU/svuA1XLoc+T258yKjZNJChe0GS+oEHEcEEfT1U6+BBLZnjiJ6Knz/1aen2W/IWO3ChB7gN+sO2i3HRpCNNCSe94agpGTWH5f3CMCfutjWsqHbX+iDQzu7EYX+N4Yl9UV6Wxt+HUARol2KsqvycaZWwibrbeKccti+yLSy1YBh51pmZQhC2gotJwexe59t88nXvSESKREb9zmhRvgrJcgo1c2agffNwFg9lCgQW+fZmhNkoe4KlubZe7clxEGNKOXNExfS5Z5jpIZzk1E/1zScLO1dtVVYFCwgnHqbE/aacok2w==" . . .