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sub:assertion {
  <https://doi.org/10.48550/arXiv.2402.09911> dct:title "Enhancing Large Language Models with Pseudoand Multisource-Knowledge Graphs for Open-ended Question Answering";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#PgAkv>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought>,
      <https://neverblink.eu/ontologies/llm-kg/methods#IoPrompt>, <https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGeneration>,
      <https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency>, <https://neverblink.eu/ontologies/llm-kg/methods#ThinkOnGraph>;
    a prov:Entity .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought> a <http://purl.org/spar/fabio/Workflow>;
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  <https://neverblink.eu/ontologies/llm-kg/methods#IoPrompt> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "IO Prompt" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#PgAkv> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "PG&AKV is a framework designed to enhance LLM performance during inference, specifically for open-ended and precise question answering. It leverages LLMs to generate a preliminary knowledge framework (pseudo-graph) and then uses external KGs for atomic-level knowledge querying and verification. The refined knowledge from KGs mitigates LLM hallucinations and improves answer accuracy without retraining, aligning with the goal of KGEnhancedLLMInference.";
    rdfs:label "Pseudo-Graph Generation and Atomic Knowledge Verification (PG&AKV)";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGeneration> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Retrieval-Augmented Generation (RAG)" .
  
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  <https://neverblink.eu/ontologies/llm-kg/methods#ThinkOnGraph> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Think on Graph (ToG)" .
}

sub:provenance {
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    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2402.09911> .
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