Matches in Nanopublications for { <https://neverblink.eu/ontologies/llm-kg/methods#HiKVP> ?p ?o ?g. }
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- HiKVP type Workflow assertion.
- HiKVP label "HiKVP" assertion.
- HiKVP comment "HiKVP (Hierarchical Key-Value Pruning) is an algorithm that dramatically reduces computational and memory overhead during LLM inference by hierarchically clustering and pruning KGKVs. It maintains high knowledge grounding accuracy while enabling scalable integration of billion-scale KGs into LLMs at inference time." assertion.
- HiKVP subject KGEnhancedLLMInference assertion.
- HiKVP hasTopCategory KGEnhancedLLM assertion.