
Incorporating structural information from knowledge graphs into large language models can significantly enhance their reasoning ability and performance on knowledge graph completion tasks.


coremsg

enhancing-large-language-models-for-knowledge-graph-completion-through-structural-information-incorporation


Enhancing Large Language Models for Knowledge Graph Completion through Structural Information Incorporation


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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.


mkgl-teaching-large-language-models-to-understand-and-generate-knowledge-graph-data


MKGL: Teaching Large Language Models to Understand and Generate Knowledge Graph Data
