In ‘Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A~Case~Study~at~HCMUT’, an innovative method aimed at building versatile knowledge graphs to augment LLMs in providing satisfactory responses to educational inquiries is proposed.

• The method integrates multiple data sources into a unified knowledge graph, enhancing LLM’s contextual understanding and domain-specific responses.

The significance of this paper cannot be overstated for the educational technology (EdTech) field, where it can lead to more responsive and dynamic query-answering systems, tailored to the educational context.

Read the full exploration at Cross-Data KG Construction for LLM-enabled Educational QA Systems.