Exploring the Potential and Limitations of Large Language Models for Novice Program Fault Localization

This article, sourced from ArXiv, focuses on the application of Large Language Models (LLMs) to assist novice programmers in identifying and fixing errors in their code. The research likely investigates the effectiveness of LLMs in understanding code, suggesting potential error locations, and providing debugging assistance. The limitations likely involve the LLMs' ability to handle complex or novel errors, the need for extensive training data, and the potential for generating incorrect or misleading suggestions. The 'Research' category and 'llm' topic are appropriate.