Nanopublications

@prefix this: <https://w3id.org/np/RAjwBguEah-86WwKEk8f1q05-l7zot4gBKFfzCyP0Quxc> .
@prefix sub: <https://w3id.org/np/RAjwBguEah-86WwKEk8f1q05-l7zot4gBKFfzCyP0Quxc/> .
@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/> .

sub:Head {
  this: np:hasAssertion sub:assertion ;
    np:hasProvenance sub:provenance ;
    np:hasPublicationInfo sub:pubinfo ;
    a np:Nanopublication .
}

sub:assertion {
  <https://doi.org/10.48550/arXiv.2405.19686> dct:title "Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeGraphTuning> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#FineTuning> , <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeEditing> , <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeNeurons> , <https://neverblink.eu/ontologies/llm-kg/methods#MEND> , <https://neverblink.eu/ontologies/llm-kg/methods#ROME> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#FineTuning> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Fine-tuning" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeEditing> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Knowledge Editing" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeGraphTuning> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "Knowledge Graph Tuning (KGT) is a novel approach for real-time LLM personalization. It leverages LLMs to extract personalized factual knowledge triples and evaluates their retrieval and reasoning probabilities, which then guide a heuristic optimization algorithm to modify an external Knowledge Graph (KG) by adding or removing triples. This continuous feedback loop where the LLM actively interacts with and updates the KG to enhance its reasoning aligns with the Synergized Reasoning category." ;
    rdfs:label "Knowledge Graph Tuning" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeNeurons> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Knowledge Neurons" .
  <https://neverblink.eu/ontologies/llm-kg/methods#MEND> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "MEND" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ROME> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ROME" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2405.19686> .
}

sub:pubinfo {
  this: dct:created "2026-02-26T15:30:10.528Z"^^xsd:dateTime ;
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    npx:hasNanopubType <https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult> ;
    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2405.19686" .
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