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sub:assertion {
  <https://doi.org/10.48550/arXiv.2407.00653> dct:title "CHAIN-OF-KNOWLEDGE: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#ChainOfKnowledgeCoK>,
      <https://neverblink.eu/ontologies/llm-kg/methods#CoKTrialAndError>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#InContextLearningCoKICLCoK>,
      <https://neverblink.eu/ontologies/llm-kg/methods#LMKE>, <https://neverblink.eu/ontologies/llm-kg/methods#TransE>,
      <https://neverblink.eu/ontologies/llm-kg/methods#VanillaCoT>;
    a prov:Entity .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ChainOfKnowledgeCoK> dct:subject
      <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning>;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "This method introduces a comprehensive framework for integrating knowledge reasoning into LLMs by learning from Knowledge Graphs. It includes KG-based dataset construction (KNOWREASON) and a vanilla fine-tuning strategy, enabling LLMs to conduct a form of reasoning deeply informed by KG logic, thus creating a synergized reasoning capability.";
    rdfs:label "CHAIN-OF-KNOWLEDGE (CoK)";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#CoKTrialAndError> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning>;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "This method enhances the CoK framework's learning by introducing a trial-and-error mechanism with a symbolic agent. This trains the LLM to simulate human-like internal knowledge exploration and adapt its reasoning paths based on factual support, thereby fostering a more robust, KG-informed, and agent-like synergized reasoning process.";
    rdfs:label "CoK (Trial and Error)";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#InContextLearningCoKICLCoK> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "In-Context-Learning CoK (ICL-CoK)" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#LMKE> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "LMKE" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#TransE> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "TransE" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#VanillaCoT> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Vanilla CoT" .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent>;
    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2407.00653> .
}

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