Matches in Nanopublications for { <https://neverblink.eu/ontologies/llm-kg/methods#KgSmile> ?p ?o ?g. }
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- KgSmile type Workflow assertion.
- KgSmile label "KG-SMILE" assertion.
- KgSmile comment "KG-SMILE is introduced as a novel perturbation-based framework designed to provide token and component-level interpretability for GraphRAG systems. It uses KGs to explain how specific entities and relations influence the LLM's generated outputs by applying controlled perturbations and training surrogate models. This method aims to enhance the understanding and trustworthiness of LLM outputs by interpreting their reasoning process through KG interactions." assertion.
- KgSmile subject KGEnhancedLLMInterpretability assertion.
- KgSmile hasTopCategory KGEnhancedLLM assertion.