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@prefix rdfg: <http://www.w3.org/2004/03/trix/rdfg-1/> .
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sub:Head {
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sub:assertion {
  <https://doi.org/10.48550/arXiv.2412.03815> a prov:Entity;
    dct:title "Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#AbeduEtAl2024SynergizedRepositoryRelatedQASystem>,
      <https://neverblink.eu/ontologies/llm-kg/methods#AbeduEtAl2024SynergizedRepositoryRelatedQASystemWithFewShotCoT>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#GPT4oSearchPreview>,
      <https://neverblink.eu/ontologies/llm-kg/methods#MSRBot> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#AbeduEtAl2024SynergizedRepositoryRelatedQASystem>
    a <http://purl.org/spar/fabio/Workflow>;
    dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning>;
    rdfs:comment "This method proposes a unified framework for software repository question answering by synergizing LLMs and KGs. It involves a Knowledge Graph Constructor, an LLM-based Query Generator to translate natural language questions into Cypher queries, a Query Executor, and an LLM-based Response Generator to synthesize answers using retrieved KG facts. The LLM acts as an agent interacting with the KG for reasoning and response generation.";
    rdfs:label "Synergized Repository-Related QA System";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#AbeduEtAl2024SynergizedRepositoryRelatedQASystemWithFewShotCoT>
    a <http://purl.org/spar/fabio/Workflow>;
    dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning>;
    rdfs:comment "This method enhances the Synergized Repository-Related QA System by incorporating few-shot chain-of-thought prompting into the Query Generator LLM. This technique guides the LLM to generate step-by-step reasoning paths, significantly improving its ability to accurately interpret complex relationships within the knowledge graph and generate more precise Cypher queries, thereby boosting overall reasoning performance.";
    rdfs:label "Synergized Repository-Related QA System with Few-Shot Chain-of-Thought Prompting";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  
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  <https://neverblink.eu/ontologies/llm-kg/methods#MSRBot> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "MSRBot" .
}

sub:provenance {
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    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2412.03815> .
}

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