Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAjwBguEah-86WwKEk8f1q05-l7zot4gBKFfzCyP0Quxc/assertion>. }
Showing items 1 to 23 of
23
with 100 items per page.
- arXiv.2405.19686 type Entity assertion.
- FineTuning type Workflow assertion.
- KnowledgeEditing type Workflow assertion.
- KnowledgeGraphTuning type Workflow assertion.
- KnowledgeNeurons type Workflow assertion.
- MEND type Workflow assertion.
- ROME type Workflow assertion.
- FineTuning label "Fine-tuning" assertion.
- KnowledgeEditing label "Knowledge Editing" assertion.
- KnowledgeGraphTuning label "Knowledge Graph Tuning" assertion.
- KnowledgeNeurons label "Knowledge Neurons" assertion.
- MEND label "MEND" assertion.
- ROME label "ROME" assertion.
- KnowledgeGraphTuning comment "Knowledge Graph Tuning (KGT) is a novel approach for real-time LLM personalization. It leverages LLMs to extract personalized factual knowledge triples and evaluates their retrieval and reasoning probabilities, which then guide a heuristic optimization algorithm to modify an external Knowledge Graph (KG) by adding or removing triples. This continuous feedback loop where the LLM actively interacts with and updates the KG to enhance its reasoning aligns with the Synergized Reasoning category." assertion.
- arXiv.2405.19686 describes KnowledgeGraphTuning assertion.
- arXiv.2405.19686 discusses FineTuning assertion.
- arXiv.2405.19686 discusses KnowledgeEditing assertion.
- arXiv.2405.19686 discusses KnowledgeNeurons assertion.
- arXiv.2405.19686 discusses MEND assertion.
- arXiv.2405.19686 discusses ROME assertion.
- KnowledgeGraphTuning subject SynergizedReasoning assertion.
- arXiv.2405.19686 title "Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback" assertion.
- KnowledgeGraphTuning hasTopCategory SynergizedLLMKG assertion.