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sub:assertion {
   <https://doi.org/10.48550/arXiv.2404.04264> dct:title "Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#logicQueryOfThoughts> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#lark> ;
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  <https://neverblink.eu/ontologies/llm-kg/methods#lark> a <http://purl.org/spar/fabio/Workflow> ;
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  <https://neverblink.eu/ontologies/llm-kg/methods#logicQueryOfThoughts> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "Logic-Query-of-Thoughts (LQOT) is a novel method that integrates LLMs and fuzzy logic-based Knowledge Graph Question Answering (KGQA) to answer complex logic queries. It achieves mutual enhancement by having LLM outputs augment KG fuzzy logic reasoning to address incompleteness, and KGQA results refine LLM outputs to mitigate hallucination, within an iterative subquestion answering framework. The method synergizes reasoning processes by allowing LLMs to interact with and be guided by KG query structures and vice-versa." ;
    rdfs:label "Logic-Query-of-Thoughts (LQOT)" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
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