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https://w3id.org/np/RA0uHlNsiUO_ok1NB8IJE30xIS46Af49M7lqldqhJNFu0

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Content

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sub:Head {
  this: a np:Nanopublication;
    np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
  <https://doi.org/10.48550/arXiv.2403.05881> a prov:Entity;
    dct:title "KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#KGRank> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#KGRank> a <http://purl.org/spar/fabio/Workflow>;
    dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
    rdfs:comment "KG-Rank is an augmented LLM framework that integrates a medical Knowledge Graph (KG) with a pipeline of entity extraction, relation retrieval, and novel ranking/re-ranking techniques (Similarity, Answer Expansion, MMR, MedCPT re-ranking). Its purpose is to enhance the factual consistency and reliability of LLMs during the inference stage for long-form medical question answering.";
    rdfs:label "KG-Rank";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent>;
    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2403.05881> .
}

sub:pubinfo {
  this: dct:created "2026-02-25T16:55:56.123Z"^^xsd:dateTime;
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