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It leverages knowledge graphs to construct structured contrastive questions from claims and reports, which then guide an LLM to generate evidence-based summaries for veracity assessment during the inference stage. This process enables LLMs to access and reason with contextualized knowledge more effectively." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "KG-CRAFT" } ], "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#co-gat-electra", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "CO-GAT (ELECTRA) is discussed as a competing method for claim verification that applies graph attention over scientific evidence, utilizing a pre-trained ELECTRA encoder." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "CO-GAT (ELECTRA)" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#cofced", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "CofCED is discussed as a traditional automated fact-checking (AFC) baseline that introduced a hierarchical encoder with cascaded evidence selectors to process reports from multiple sources for claim verification." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "CofCED" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#corxfact", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "CorXFact is discussed as an LLM-based fact-checking approach that simulates human fact-checking principles by analyzing claim-evidence correlations." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "CorXFact" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#defend", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "dEFEND is discussed as a traditional automated fact-checking (AFC) baseline method that employs a sentence-comment co-attention network to jointly analyze news content and user comments for claim verification." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "dEFEND" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#factl-lama", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "FactL-LaMA is discussed as a specialized LLM-based fact-checking method that combines instruction-following with external evidence retrieval, implemented as a Low-Rank Adaptation (LoRA) fine-tuned Llama 2 7B." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "FactL-LaMA" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#factl-lama-know", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "FactL-LaMA-Know is discussed as a specialized LLM-based fact-checking method that augments the FactL-LaMA model with external knowledge sources to improve fact-checking accuracy." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "FactL-LaMA-Know" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#fire", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "FIRE is discussed as a recent LLM-based fact-checking approach that proposes an iterative verification method aiming to improve scalability and efficiency in assessing claims." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "FIRE" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#genfe", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "GenFE is discussed as a traditional automated fact-checking (AFC) baseline that performs joint optimization of veracity prediction and explanation generation, showing improved classification and output quality." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "GenFE" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#genfe-mt", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "GenFE-MT is discussed as a traditional automated fact-checking (AFC) baseline that performs joint optimization of veracity prediction and explanation generation, showing improved classification and output quality." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "GenFE-MT" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#graphcheck", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "GraphCheck is discussed as a recent LLM-based verifier that incorporates lightweight graph signals and instruction-style prompting for fact-checking." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "GraphCheck" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#graphfc", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "GraphFC is discussed as a competing method for claim verification that encodes the report structure with an explicit graph and graph reasoning components." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "GraphFC" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ika", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "IKA is discussed as an LLM-based fact-checking framework that builds a graph of positive and negative examples from labelled data to enhance fact-checking and explanation capabilities." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "IKA" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#l-defense", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "L-Defense is discussed as a 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