Matches in Nanopublications for { <https://neverblink.eu/ontologies/llm-kg/methods#semanticConditionTuning> ?p ?o ?g. }
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- semanticConditionTuning type Workflow assertion.
- semanticConditionTuning label "Semantic-Condition Tuning" assertion.
- semanticConditionTuning comment "Semantic-Condition Tuning (SCT) proposes a novel framework for deep integration of KGs and LLMs for Knowledge Graph Completion. It features a Condition-Adaptive Fusion Module which acts as a KG fusion module, performing a feature-level affine transformation on the LLM's input embeddings based on a graph-derived semantic condition. This module is jointly trained with the LLM, thereby creating a unified, knowledge-infused representation that aligns with the SynergizedKnowledgeRepresentation category." assertion.
- semanticConditionTuning subject SynergizedKnowledgeRepresentation assertion.
- semanticConditionTuning hasTopCategory SynergizedLLMKG assertion.