https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/Head https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/assertion https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/provenance https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/pubinfo https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/assertion https://doi.org/10.48550/arXiv.2403.05881 http://purl.org/dc/terms/title KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques https://doi.org/10.48550/arXiv.2403.05881 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#KgRank https://doi.org/10.48550/arXiv.2403.05881 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Almanac https://doi.org/10.48550/arXiv.2403.05881 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#ChatEnt https://doi.org/10.48550/arXiv.2403.05881 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#Almanac http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Almanac http://www.w3.org/2000/01/rdf-schema#comment 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. https://neverblink.eu/ontologies/llm-kg/methods#Almanac http://www.w3.org/2000/01/rdf-schema#label Almanac https://neverblink.eu/ontologies/llm-kg/methods#ChatEnt http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#ChatEnt http://www.w3.org/2000/01/rdf-schema#comment 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. https://neverblink.eu/ontologies/llm-kg/methods#ChatEnt http://www.w3.org/2000/01/rdf-schema#label ChatENT https://neverblink.eu/ontologies/llm-kg/methods#KgRank http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference https://neverblink.eu/ontologies/llm-kg/methods#KgRank http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#KgRank http://www.w3.org/2000/01/rdf-schema#comment 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. https://neverblink.eu/ontologies/llm-kg/methods#KgRank http://www.w3.org/2000/01/rdf-schema#label KG-Rank https://neverblink.eu/ontologies/llm-kg/methods#KgRank https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/provenance https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/assertion http://www.w3.org/ns/prov#wasAttributedTo https://neverblink.eu/ontologies/llm-kg/agent https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/assertion http://www.w3.org/ns/prov#wasDerivedFrom https://doi.org/10.48550/arXiv.2403.05881 https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/pubinfo https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg http://purl.org/dc/terms/created 2026-03-13T16:05:11.469Z https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg http://purl.org/dc/terms/creator https://neverblink.eu/ontologies/llm-kg/agent https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg http://purl.org/nanopub/x/hasNanopubType https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg http://purl.org/nanopub/x/supersedes https://w3id.org/np/RAHt8HqiW8AcuusnGVccmiu6_KzjuDqksGJewBRBj6gsM https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg http://www.w3.org/2000/01/rdf-schema#label LLM-KG assessment for paper 10.48550/arXiv.2403.05881 https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/sig http://purl.org/nanopub/x/hasPublicKey MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/sig http://purl.org/nanopub/x/hasSignature WztWGY+pzNygXBhUF/SQPZ2V5JZa9avXjwhV5Z0t1R7SY9s6NG7iXcjceO23LhwmrdYtfYg/fcUZtrkKKSiRLW/8CX9NwwAp8Tb1U/0U8iHdrNha0k0CLjbYRKg2lZClcetCN2I9N/h/w1wXPVX1TeJXxS5q87IlLj8Wcy1/4yRK/ONdINpJWm6kwpJV5uQZyo1OHzxIPRAmCiU9joeoIX3cPiN2vQsGAab6PUqXYWcSmL+nM87rUMp8/5ibxjXVK1O2eLOBIEwkRLzXdDrLTGo9wqHZa6LOnPNHMtxOdFeM/74cxxbFceYdOew3mcjJSMCe26UOeTVUNuP1XIkzXg== https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg https://w3id.org/np/RAXDe9Lt0eqAZ5J6LYACWyeQFNmtr0-qXpOb-JPXp5Ojg/sig http://purl.org/nanopub/x/signedBy https://neverblink.eu/ontologies/llm-kg/agent