Nanopublications

@prefix this: <https://w3id.org/np/RAe68J9oUpulv49vQwO43UWKl38DzmSn_K4mIUgBv9k1o> .
@prefix sub: <https://w3id.org/np/RAe68J9oUpulv49vQwO43UWKl38DzmSn_K4mIUgBv9k1o/> .
@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.2505.12476> dct:title "Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#reasoningPathStack> , <https://neverblink.eu/ontologies/llm-kg/methods#rewardGuidedTreeSearchOnGraph> , <https://neverblink.eu/ontologies/llm-kg/methods#selfCriticMonteCarloTreeSearch> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#deCAF> , <https://neverblink.eu/ontologies/llm-kg/methods#erMPlusNSM> , <https://neverblink.eu/ontologies/llm-kg/methods#fCKBQA> , <https://neverblink.eu/ontologies/llm-kg/methods#flexKBQA> , <https://neverblink.eu/ontologies/llm-kg/methods#gain> , <https://neverblink.eu/ontologies/llm-kg/methods#gnnRAG> , <https://neverblink.eu/ontologies/llm-kg/methods#graftNet> , <https://neverblink.eu/ontologies/llm-kg/methods#interactiveKBQA> , <https://neverblink.eu/ontologies/llm-kg/methods#kbBinder> , <https://neverblink.eu/ontologies/llm-kg/methods#nSM> , <https://neverblink.eu/ontologies/llm-kg/methods#poG> , <https://neverblink.eu/ontologies/llm-kg/methods#pullNet> , <https://neverblink.eu/ontologies/llm-kg/methods#reaRev> , <https://neverblink.eu/ontologies/llm-kg/methods#rnGKBQA> , <https://neverblink.eu/ontologies/llm-kg/methods#roG> , <https://neverblink.eu/ontologies/llm-kg/methods#sRPlusNSM> , <https://neverblink.eu/ontologies/llm-kg/methods#structGPT> , <https://neverblink.eu/ontologies/llm-kg/methods#tiara> , <https://neverblink.eu/ontologies/llm-kg/methods#toG> , <https://neverblink.eu/ontologies/llm-kg/methods#toG20> , <https://neverblink.eu/ontologies/llm-kg/methods#uniKGQA> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#deCAF> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "DeCAF" .
  <https://neverblink.eu/ontologies/llm-kg/methods#erMPlusNSM> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ERM+NSM" .
  <https://neverblink.eu/ontologies/llm-kg/methods#fCKBQA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "FC-KBQA" .
  <https://neverblink.eu/ontologies/llm-kg/methods#flexKBQA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "FlexKBQA" .
  <https://neverblink.eu/ontologies/llm-kg/methods#gain> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GAIN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#gnnRAG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GNN-RAG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#graftNet> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GraftNet" .
  <https://neverblink.eu/ontologies/llm-kg/methods#interactiveKBQA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Interactive KBQA" .
  <https://neverblink.eu/ontologies/llm-kg/methods#kbBinder> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "KB-BINDER" .
  <https://neverblink.eu/ontologies/llm-kg/methods#nSM> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "NSM" .
  <https://neverblink.eu/ontologies/llm-kg/methods#poG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "PoG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#pullNet> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "PullNet" .
  <https://neverblink.eu/ontologies/llm-kg/methods#reaRev> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ReaRev" .
  <https://neverblink.eu/ontologies/llm-kg/methods#reasoningPathStack> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "The Reasoning Path Stack is a specific mechanism within RTSoG's Answer Generation stage. It processes the KG-derived weighted reasoning paths in a structured manner, allowing the LLM to effectively utilize this external knowledge during inference to generate more accurate answers." ;
    rdfs:label "Reasoning Path Stack" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#rewardGuidedTreeSearchOnGraph> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "RTSoG is a training-free framework that enhances LLM performance in KGQA. It uses KGs to retrieve weighted reasoning paths, which are then used by the LLM for answer generation during inference. This directly falls under KGEnhancedLLMInference as KGs are used to provide contextual knowledge to LLMs at inference time." ;
    rdfs:label "Reward-guided Tree Search on Graph (RTSoG)" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#rnGKBQA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "RnG-KBQA" .
  <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#sRPlusNSM> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "SR+NSM" .
  <https://neverblink.eu/ontologies/llm-kg/methods#selfCriticMonteCarloTreeSearch> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "SC-MCTS is a core component of RTSoG designed to iteratively retrieve weighted reasoning paths from KGs. This method, guided by a reward model (LLM), directly enables the LLM to access and leverage knowledge from KGs during the inference stage for improved KGQA performance." ;
    rdfs:label "Self-Critic Monte Carlo Tree Search (SC-MCTS)" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#structGPT> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "StructGPT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#tiara> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "TIARA" .
  <https://neverblink.eu/ontologies/llm-kg/methods#toG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ToG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#toG20> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ToG2.0" .
  <https://neverblink.eu/ontologies/llm-kg/methods#uniKGQA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "UniKGQA" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2505.12476> .
}

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