Recent developments in AI have led to the creation of a novel multi-agent system aiming to fully automate the process of conducting systematic literature reviews (SLRs). The System for Systematic Literature Review utilizes Large Language Models (LLMs) to optimize the SLR process.

• The system enables researchers to input topics, and it autonomously generates search strings to retrieve relevant papers.
• It applies inclusive and exclusive filtering based on titles and summarizes abstracts closely related to the field of study.
• The final phase involves a thorough analysis of the selected papers in line with predefined research questions.
• Experimentation with software engineering researchers yielded promising results, bolstering operational efficiency and data accuracy.

This innovation could dramatically reduce manual labor in SLRs, paving the way for rapid information synthesis and assessment in various fields of research. Read more about this project.