Automated Systematic Literature Reviews Utilizing AI Agents

Researchers have been seeking to streamline the time-consuming systematic literature review (SLR) process. A novel multi-AI agent model has been introduced to automate entire SLRs, leveraging Large Language Models (LLMs) to enhance efficiency and accuracy. The innovative approach facilitates the generation of search strings, filtering of studies, and comprehensive analysis of research papers.

• Novel approach to fully automate systematic literature reviews (SLRs).
• Utilizes capabilities of Large Language Models (LLMs) for efficient and accurate reviews.
• User-friendly interface for inputting research topics, generating search strings, and filtering relevant papers.
• Autonomous summarization of abstracts, focusing on titles pertinent to the research area.
• Thorough analysis of selected papers addressing predefined research questions.

The potential of this tool is vast, as it can significantly reduce manual effort in conducting high-quality literature reviews. With further refinement, it may broaden its applicability across various disciplines, enhancing the research methodology landscape.