Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAaGcIMVdjU39we9S6HyZATb-2KUg6GD1QQrFmMRlcSxs/assertion>. }
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- RetrievalAugmentedGeneration type Workflow assertion.
- InContextLearning type Workflow assertion.
- arXiv.2510.17934 type Entity assertion.
- AtlasKV type Workflow assertion.
- HiKVP type Workflow assertion.
- KBLaM type Workflow assertion.
- KG2KV type Workflow assertion.
- ZeroShotLearning type Workflow assertion.
- RetrievalAugmentedGeneration label "Retrieval-Augmented Generation" assertion.
- InContextLearning label "In-context learning" assertion.
- AtlasKV label "AtlasKV" assertion.
- HiKVP label "HiKVP" assertion.
- KBLaM label "KBLaM" assertion.
- KG2KV label "KG2KV" assertion.
- ZeroShotLearning label "Zero-shot learning" assertion.
- AtlasKV comment "AtlasKV is a parametric knowledge integration method that augments LLMs with billion-scale KGs. It is designed to overcome limitations of existing methods by improving LLM performance in terms of knowledge grounding, generalization, and scalability during the inference stage, without requiring external retrievers or retraining." 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.
- KG2KV comment "KG2KV is a pipeline that transforms KG triples into high-quality Q-K-V data, which serves as training data for LLMs. This method enhances the generalization performance and efficient knowledge integration by enabling better injection of KGs into LLMs' parametric representations, thus improving their knowledge expression." assertion.
- arXiv.2510.17934 describes AtlasKV assertion.
- arXiv.2510.17934 describes HiKVP assertion.
- arXiv.2510.17934 describes KG2KV assertion.
- arXiv.2510.17934 discusses RetrievalAugmentedGeneration assertion.
- arXiv.2510.17934 discusses InContextLearning assertion.
- arXiv.2510.17934 discusses KBLaM assertion.
- arXiv.2510.17934 discusses ZeroShotLearning assertion.
- AtlasKV subject KGEnhancedLLMInference assertion.
- HiKVP subject KGEnhancedLLMInference assertion.
- KG2KV subject KGEnhancedLLMPretraining assertion.
- arXiv.2510.17934 title "ATLASKV: AUGMENTING LLMS WITH BILLION-SCALE KNOWLEDGE GRAPHS IN 20GB VRAM" assertion.
- AtlasKV hasTopCategory KGEnhancedLLM assertion.
- HiKVP hasTopCategory KGEnhancedLLM assertion.
- KG2KV hasTopCategory KGEnhancedLLM assertion.