Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAc58JpiapZ5zAyfUwsYdlqphJCRwdkrzCx-VY3IqaxOg/assertion>. }
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- Rag type Workflow assertion.
- AutoKg type Workflow assertion.
- arXiv.2406.03746 type Entity assertion.
- ChainRag type Workflow assertion.
- ContinualPretraining type Workflow assertion.
- EfficientLlmKgConstruction type Workflow assertion.
- EnhancedLlmWithKnowledgePrelearningAndFeedback type Workflow assertion.
- Gap type Workflow assertion.
- LoraBasedSft type Workflow assertion.
- Pive type Workflow assertion.
- WebBrain type Workflow assertion.
- Rag label "RAG" assertion.
- AutoKg label "AutoKG" assertion.
- ChainRag label "ChainRAG" assertion.
- ContinualPretraining label "Continual pre-training" assertion.
- EfficientLlmKgConstruction label "Efficient construction of domain KGs" assertion.
- EnhancedLlmWithKnowledgePrelearningAndFeedback label "Enhanced LLM with Knowledge Pre-learning and Feedback (ELPF)" assertion.
- Gap label "GAP" assertion.
- LoraBasedSft label "LoRA-based SFT" assertion.
- Pive label "PiVe" assertion.
- WebBrain label "WebBrain" assertion.
- EfficientLlmKgConstruction comment "This method describes an LLM-based workflow for efficiently constructing domain-specific knowledge graphs. It involves fine-tuning an LLM for knowledge triples extraction from unsupervised corpora, followed by post-processing for error removal and entity resolution. This directly addresses the problem of knowledge mismatch by building a tailored KG." assertion.
- EnhancedLlmWithKnowledgePrelearningAndFeedback comment "ELPF is a modular, three-stage KG-LLM alignment framework designed to enhance LLM's capability to utilize KG information and reduce hallucinations. It includes K-LoRA for pre-learning KG infusion and domain linguistic style, supervised fine-tuning with KG retrieval, and Alignment with Knowledge Graph Feedback (AKGF) where KGs act as automated evaluators for DPO-based fine-tuning. The framework synergizes LLMs and KGs to improve reasoning and factual correctness." assertion.
- arXiv.2406.03746 describes EfficientLlmKgConstruction assertion.
- arXiv.2406.03746 describes EnhancedLlmWithKnowledgePrelearningAndFeedback assertion.
- arXiv.2406.03746 discusses Rag assertion.
- arXiv.2406.03746 discusses AutoKg assertion.
- arXiv.2406.03746 discusses ChainRag assertion.
- arXiv.2406.03746 discusses ContinualPretraining assertion.
- arXiv.2406.03746 discusses Gap assertion.
- arXiv.2406.03746 discusses LoraBasedSft assertion.
- arXiv.2406.03746 discusses Pive assertion.
- arXiv.2406.03746 discusses WebBrain assertion.
- EfficientLlmKgConstruction subject LLMAugmentedKGConstruction assertion.
- EnhancedLlmWithKnowledgePrelearningAndFeedback subject SynergizedReasoning assertion.
- arXiv.2406.03746 title "Efficient Knowledge Infusion via KG-LLM Alignment" assertion.
- EfficientLlmKgConstruction hasTopCategory LLMAugmentedKG assertion.
- EnhancedLlmWithKnowledgePrelearningAndFeedback hasTopCategory SynergizedLLMKG assertion.