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approfondimento - Knowledge Graph Completion with Large Language Models
Enhancing Large Language Models for Knowledge Graph Completion through Structural Information Incorporation
Incorporating structural information from knowledge graphs into large language models can significantly enhance their reasoning ability and performance on knowledge graph completion tasks.
MKGL: Teaching Large Language Models to Understand and Generate Knowledge Graph Data
Large language models (LLMs) can be trained to effectively understand and generate knowledge graph (KG) data by introducing a specialized KG Language (KGL) and leveraging context and score retrieval mechanisms.
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