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    a np:Nanopublication .
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sub:assertion {
  <https://doi.org/10.48550/arXiv.2505.23841> dct:title "SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#SkewRoute> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#AutoMix> , <https://neverblink.eu/ontologies/llm-kg/methods#GraphRouter> , <https://neverblink.eu/ontologies/llm-kg/methods#HybridLLM> , <https://neverblink.eu/ontologies/llm-kg/methods#RandomRouting> , <https://neverblink.eu/ontologies/llm-kg/methods#RoG> , <https://neverblink.eu/ontologies/llm-kg/methods#RouteLLM> , <https://neverblink.eu/ontologies/llm-kg/methods#SubgraphRAG> , <https://neverblink.eu/ontologies/llm-kg/methods#ToG> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#AutoMix> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "AutoMix" .
  <https://neverblink.eu/ontologies/llm-kg/methods#GraphRouter> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GraphRouter" .
  <https://neverblink.eu/ontologies/llm-kg/methods#HybridLLM> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Hybrid-LLM" .
  <https://neverblink.eu/ontologies/llm-kg/methods#RandomRouting> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Random Routing" .
  <https://neverblink.eu/ontologies/llm-kg/methods#RoG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "RoG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#RouteLLM> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "RouteLLM" .
  <https://neverblink.eu/ontologies/llm-kg/methods#SkewRoute> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "SkewRoute is a training-free LLM routing framework tailored for Knowledge Graph Retrieval-Augmented Generation (KG-RAG). It leverages the score skewness of retrieved KG contexts to dynamically assess query difficulty and route queries to different LLM scales (smaller for simple, larger for complex). This method optimizes LLM inference costs and performance in KG-RAG applications by using KG-derived signals during the inference stage." ;
    rdfs:label "SkewRoute" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#SubgraphRAG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "SubgraphRAG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ToG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ToG" .
}
sub:provenance {
  sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2505.23841> .
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