Nanopublications

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@prefix sub: <https://w3id.org/np/RAWctWLVOkH90Z-3ahK17bANfGnNhuXP0oU3mCYYg5Q0U/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .

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sub:assertion {
  <https://doi.org/10.48550/arXiv.2505.07554> dct:title "Integrating Structured Knowledge Graph Representations into Frozen Large Language Models" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#PerozziEtAl2025KGGraphToken> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#CoT> , <https://neverblink.eu/ontologies/llm-kg/methods#CoTBaG> , <https://neverblink.eu/ontologies/llm-kg/methods#FewShot> , <https://neverblink.eu/ontologies/llm-kg/methods#PromptTuning> , <https://neverblink.eu/ontologies/llm-kg/methods#ZeroCoT> , <https://neverblink.eu/ontologies/llm-kg/methods#ZeroShot> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#CoT> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "CoT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#CoTBaG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "CoT-BaG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#FewShot> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Few-Shot" .
  <https://neverblink.eu/ontologies/llm-kg/methods#PerozziEtAl2025KGGraphToken> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This method introduces a novel technique for directly integrating structured Knowledge Graph (KG) representations into frozen Large Language Models (LLMs). It extends the GraphToken framework to KGs by leveraging Knowledge Graph Embedding (KGE) models to generate structured tokens from KG information. These tokens are concatenated with the natural language query and fed into the frozen LLM at inference time, enhancing the LLM's reasoning capabilities without requiring LLM fine-tuning or prompt engineering." ;
    rdfs:label "KG-GraphToken" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#PromptTuning> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Prompt Tuning" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ZeroCoT> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Zero-CoT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ZeroShot> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Zero-Shot" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2505.07554> .
}

sub:pubinfo {
  this: dct:created "2026-02-26T15:24:26.860Z"^^xsd:dateTime ;
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    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2505.07554" .
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