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sub:assertion {
  <https://doi.org/10.48550/arXiv.2601.09280> a prov:Entity;
    dct:title "ReGraM: Region-First Knowledge Graph Reasoning for Medical Question Answering";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#ReGraM>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought>,
      <https://neverblink.eu/ontologies/llm-kg/methods#GraphRAG>, <https://neverblink.eu/ontologies/llm-kg/methods#JointLK>,
      <https://neverblink.eu/ontologies/llm-kg/methods#KGARevion>, <https://neverblink.eu/ontologies/llm-kg/methods#MedGraphRAG>,
      <https://neverblink.eu/ontologies/llm-kg/methods#MedReason>, <https://neverblink.eu/ontologies/llm-kg/methods#OntologyGuidedKGQA>,
      <https://neverblink.eu/ontologies/llm-kg/methods#QAGNN>, <https://neverblink.eu/ontologies/llm-kg/methods#ReAct>,
      <https://neverblink.eu/ontologies/llm-kg/methods#Reflexion>, <https://neverblink.eu/ontologies/llm-kg/methods#STaR>,
      <https://neverblink.eu/ontologies/llm-kg/methods#SelfCheck> .
  
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    rdfs:label "JointLK" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#KGARevion> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "KGARevion" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#MedGraphRAG> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Med-GraphRAG" .
  
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    rdfs:label "MedReason" .
  
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    rdfs:label "Ontology-Guided KGQA" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#QAGNN> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "QAGNN" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ReAct> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "ReAct" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ReGraM> a <http://purl.org/spar/fabio/Workflow>;
    dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
    rdfs:comment "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.";
    rdfs:label "ReGraM";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#Reflexion> a <http://purl.org/spar/fabio/Workflow>;
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  <https://neverblink.eu/ontologies/llm-kg/methods#SelfCheck> a <http://purl.org/spar/fabio/Workflow>;
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}

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