. . . . "KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques" . . . . . . "Almanac is discussed as previous research that leverages external medical knowledge to enhance the accuracy and reliability of LLM-generated content. It is mentioned in the introduction as a related work that attempted to address the challenge of LLM factual inconsistency, providing context for the problem KG-Rank aims to solve." . "Almanac" . . "ChatENT is discussed as previous research that leverages external medical knowledge to enhance the accuracy and reliability of LLM-generated content. Similar to Almanac, it is cited in the introduction as related work demonstrating the use of external knowledge to improve LLMs, setting the stage for KG-Rank's novel approach to knowledge integration." . "ChatENT" . . . "KG-Rank is an augmented LLM framework that integrates a medical Knowledge Graph (KG) with multiple ranking and re-ranking techniques to improve the factual consistency of long-form question answering in the medical domain. It works by identifying medical entities in a question, retrieving related KG triples, and then applying techniques like Similarity Ranking, Answer Expansion Ranking, and Maximal Marginal Relevance Ranking, followed by re-ranking using models like MedCPT, to refine the information provided to the LLM during inference for answer generation." . "KG-Rank" . . . . "2026-03-13T16:05:11.469Z"^^ . . . . "LLM-KG assessment for paper 10.48550/arXiv.2403.05881" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "WztWGY+pzNygXBhUF/SQPZ2V5JZa9avXjwhV5Z0t1R7SY9s6NG7iXcjceO23LhwmrdYtfYg/fcUZtrkKKSiRLW/8CX9NwwAp8Tb1U/0U8iHdrNha0k0CLjbYRKg2lZClcetCN2I9N/h/w1wXPVX1TeJXxS5q87IlLj8Wcy1/4yRK/ONdINpJWm6kwpJV5uQZyo1OHzxIPRAmCiU9joeoIX3cPiN2vQsGAab6PUqXYWcSmL+nM87rUMp8/5ibxjXVK1O2eLOBIEwkRLzXdDrLTGo9wqHZa6LOnPNHMtxOdFeM/74cxxbFceYdOew3mcjJSMCe26UOeTVUNuP1XIkzXg==" . . .