Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAWctWLVOkH90Z-3ahK17bANfGnNhuXP0oU3mCYYg5Q0U/assertion>. }
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- CoT type Workflow assertion.
- arXiv.2505.07554 type Entity assertion.
- CoTBaG type Workflow assertion.
- FewShot type Workflow assertion.
- PerozziEtAl2025KGGraphToken type Workflow assertion.
- PromptTuning type Workflow assertion.
- ZeroCoT type Workflow assertion.
- ZeroShot type Workflow assertion.
- CoT label "CoT" assertion.
- CoTBaG label "CoT-BaG" assertion.
- FewShot label "Few-Shot" assertion.
- PerozziEtAl2025KGGraphToken label "KG-GraphToken" assertion.
- PromptTuning label "Prompt Tuning" assertion.
- ZeroCoT label "Zero-CoT" assertion.
- ZeroShot label "Zero-Shot" assertion.
- PerozziEtAl2025KGGraphToken comment "This method introduces a novel technique for directly integrating structured Knowledge Graph (KG) representations into frozen Large Language Models (LLMs). It extends the GraphToken framework to KGs by leveraging Knowledge Graph Embedding (KGE) models to generate structured tokens from KG information. These tokens are concatenated with the natural language query and fed into the frozen LLM at inference time, enhancing the LLM's reasoning capabilities without requiring LLM fine-tuning or prompt engineering." assertion.
- arXiv.2505.07554 describes PerozziEtAl2025KGGraphToken assertion.
- arXiv.2505.07554 discusses CoT assertion.
- arXiv.2505.07554 discusses CoTBaG assertion.
- arXiv.2505.07554 discusses FewShot assertion.
- arXiv.2505.07554 discusses PromptTuning assertion.
- arXiv.2505.07554 discusses ZeroCoT assertion.
- arXiv.2505.07554 discusses ZeroShot assertion.
- PerozziEtAl2025KGGraphToken subject KGEnhancedLLMInference assertion.
- arXiv.2505.07554 title "Integrating Structured Knowledge Graph Representations into Frozen Large Language Models" assertion.
- PerozziEtAl2025KGGraphToken hasTopCategory KGEnhancedLLM assertion.