Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAjG98Gpzlzwiy3i6yP7Fj1wTHVecNCfQVG0TPWBBT9uc/assertion>. }
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- GraphRAG type Workflow assertion.
- arXiv.2410.04949 type Entity assertion.
- BERT type Workflow assertion.
- CLAKGLLMRecommendationFramework type Workflow assertion.
- DPCNN type Workflow assertion.
- GRU type Workflow assertion.
- LLMbasedCLAKGConstruction type Workflow assertion.
- LightRAG type Workflow assertion.
- RGCN type Workflow assertion.
- TFIDFRAG type Workflow assertion.
- GraphRAG label "Graph-RAG" assertion.
- BERT label "BERT" assertion.
- CLAKGLLMRecommendationFramework label "CLAKG-LLM Law Article Recommendation Framework" assertion.
- DPCNN label "DPCNN" assertion.
- GRU label "GRU" assertion.
- LLMbasedCLAKGConstruction label "LLM-based CLAKG Construction" assertion.
- LightRAG label "Light-RAG" assertion.
- RGCN label "Relational Graph Convolutional Network" assertion.
- TFIDFRAG label "TFIDF-RAG" assertion.
- CLAKGLLMRecommendationFramework comment "This closed-loop framework leverages the Case-Enhanced Law Article Knowledge Graph (CLAKG) to ground the recommendations generated by an LLM during the inference stage. By retrieving relevant historical case information and candidate law articles from the CLAKG, the framework enables the LLM to provide more accurate law article recommendations and effectively mitigates issues like hallucinations in LLM outputs, thereby enhancing LLM performance." assertion.
- LLMbasedCLAKGConstruction comment "This method uses a Large Language Model (LLM) to automatically extract nodes and relationships from law articles and judgments, integrating them to form the Case-Enhanced Law Article Knowledge Graph (CLAKG). The LLM's role is to reduce manual input and improve the scalability of the KG construction process, directly augmenting the KG construction task." assertion.
- arXiv.2410.04949 describes CLAKGLLMRecommendationFramework assertion.
- arXiv.2410.04949 describes LLMbasedCLAKGConstruction assertion.
- arXiv.2410.04949 discusses GraphRAG assertion.
- arXiv.2410.04949 discusses BERT assertion.
- arXiv.2410.04949 discusses DPCNN assertion.
- arXiv.2410.04949 discusses GRU assertion.
- arXiv.2410.04949 discusses LightRAG assertion.
- arXiv.2410.04949 discusses RGCN assertion.
- arXiv.2410.04949 discusses TFIDFRAG assertion.
- CLAKGLLMRecommendationFramework subject KGEnhancedLLMInference assertion.
- LLMbasedCLAKGConstruction subject LLMAugmentedKGConstruction assertion.
- arXiv.2410.04949 title "Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law" assertion.
- CLAKGLLMRecommendationFramework hasTopCategory KGEnhancedLLM assertion.
- LLMbasedCLAKGConstruction hasTopCategory LLMAugmentedKG assertion.