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- KgLlmAblationFramework type Workflow assertion.
- KgLlmAblationFramework type Workflow assertion.
- KgLlmAblationFramework type Workflow assertion.
- KgLlmAblationFramework label "KG-LLM (ablation) Framework" assertion.
- KgLlmAblationFramework label "KG-LLM (ablation) Framework" assertion.
- KgLlmAblationFramework label "KG-LLM (ablation) framework" assertion.
- KgLlmAblationFramework comment "This framework serves as a baseline variant of the KG-LLM approach. It converts multi-hop KG paths into natural language prompts but explicitly removes instructions, textualized IDs, and Chain-of-Thought reasoning from the expected response. It uses instruction fine-tuning to train LLMs for multi-hop link and relation prediction as a comparative method." assertion.
- KgLlmAblationFramework comment "This method is a variant of the KG-LLM Framework, specifically designed with a simplified "ablation knowledge prompt." Unlike the full KG-LLM prompt, it removes explicit instructions, textualized IDs, and CoT reasoning from the expected response. It is introduced and evaluated by the authors as a baseline within their proposed approach to demonstrate the effectiveness of the advanced prompting strategies in the full KG-LLM Framework for multi-hop link prediction." assertion.
- KgLlmAblationFramework subject LLMAugmentedKGCompletion assertion.
- KgLlmAblationFramework subject LLMAugmentedKGCompletion assertion.
- KgLlmAblationFramework hasTopCategory LLMAugmentedKG assertion.
- KgLlmAblationFramework hasTopCategory LLMAugmentedKG assertion.