[ { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA/provenance", "@graph": [ { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA/assertion", "http://www.w3.org/ns/prov#wasAttributedTo": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/agent" } ], "http://www.w3.org/ns/prov#wasDerivedFrom": [ { "@id": "https://doi.org/10.48550/arXiv.2503.23523" } ] } ] }, { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA/Head", "@graph": [ { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA", "http://www.nanopub.org/nschema#hasAssertion": [ { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA/assertion" } ], "http://www.nanopub.org/nschema#hasProvenance": [ { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA/provenance" } ], "http://www.nanopub.org/nschema#hasPublicationInfo": [ { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA/pubinfo" } ], "@type": [ "http://www.nanopub.org/nschema#Nanopublication" ] } ] }, { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA/assertion", "@graph": [ { "@id": "https://doi.org/10.48550/arXiv.2503.23523", "http://purl.org/dc/terms/title": [ { "@value": "Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models" } ], "http://purl.org/spar/cito/describes": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#QuestionAwareKnowledgeGraphPrompting" } ], "http://purl.org/spar/cito/discusses": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#GraphNeuralPrompting" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#KGEvidencePrompting" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#LLMOnly" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#PromptEnhancedLLM" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#SoftPrompting" } ], "@type": [ "http://www.w3.org/ns/prov#Entity" ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#QuestionAwareKnowledgeGraphPrompting", "http://purl.org/dc/terms/subject": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference" } ], "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "This method enhances LLM performance in Multiple Choice Question Answering (MCQA) by generating query-adaptive soft prompts from Knowledge Graphs (KGs) during the inference stage. It integrates question embeddings into GNN aggregation (QNA) to assess KG relevance and uses global attention across answer options (GTP) to enrich soft prompt completeness, without requiring LLM fine-tuning." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Question-Aware Knowledge Graph Prompting" } ], "https://neverblink.eu/ontologies/llm-kg/hasTopCategory": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#GraphNeuralPrompting", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "GNP (Graph Neural Prompting)" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#KGEvidencePrompting", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "KGEP (KG Evidence Prompting)" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#LLMOnly", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "LLM (LLM-Only)" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#PromptEnhancedLLM", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "PE (Prompt-Enhanced LLM)" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#SoftPrompting", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "SP (Soft Prompting)" } ] } ] }, { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA/pubinfo", "@graph": [ { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA", "http://purl.org/dc/terms/created": [ { "@value": "2026-02-26T15:20:09.148Z", "@type": "http://www.w3.org/2001/XMLSchema#dateTime" } ], "http://purl.org/dc/terms/creator": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/agent" } ], "http://purl.org/nanopub/x/hasNanopubType": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult" } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "LLM-KG assessment for paper 10.48550/arXiv.2503.23523" } ] }, { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA/sig", "http://purl.org/nanopub/x/hasAlgorithm": [ { "@value": "RSA" } ], "http://purl.org/nanopub/x/hasPublicKey": [ { "@value": "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" } ], "http://purl.org/nanopub/x/hasSignature": [ { "@value": "I7yqaJqZsF2wL1x9bpx+53tMIeTgYPdgAzKC0fAM9dUuZnh5osHRTEa1y/LRWj8HTRaldxFis4wrMQNoChUDUEUXzMs+cDaOFf+XPc6rcR46FCHs1BJgDa2rTb3VnZsgyKmx6pBYA+HS1J9NFAVLJpZzPTWUB7U7ioITVS74KWylau/030YdDwOLLec8yC5DmZfkRInmV8uIApcnLhw8VkQ1oYPm9vrleRfcbjFT7Hd4LFsz7F/7xaOBFPngSsmpo5g8PUYqjUfT71TA7qe7yz9yjqKNGl2u4uw78rtVMGm0U9jMc0rusgVLPG440W5iLfVJR3zFcMgr6h1r4iZTng==" } ], "http://purl.org/nanopub/x/hasSignatureTarget": [ { "@id": "https://w3id.org/np/RA_RCrkVLDfTcc3lmJvCqgECFIWygsxVXoGHpVCOAJPOA" } ], "http://purl.org/nanopub/x/signedBy": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/agent" } ] } ] } ]