IEEE

Learning Resource Recommendation Model Based on Collaborative Knowledge Graph Attention Networks

Abstract: Aiming at the issue that most of the existing knowledge graph-based methods for personalized learning resource recommendations do not take full advantage of collaborative signals from ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
IEEE

Non-Traditional Methods for Teaching Python Programming with Large Language Models

Abstract: Large Language Models (LLMs), like those of the ChatGPT, Gemini, and Claude families, are increasingly being researched for their potential utilization in programming education. Traditional ...