Information Retrieval
Agentic AI System for Automated Systematic Literature Reviews | Current Topics
Context
This project operates within the domain of agentic AI, information retrieval, and research methodology automation. Systematic literature reviews (SLRs) are fundamental to evidence-based research, yet their execution remains largely manual and time-intensive. The project builds on an existing paper collection system that queries academic databases (arXiv, Semantic Scholar, DBLP) using structured configurations, and aims to transform it into a multi-agent pipeline where researchers provide a natural language topic description and receive a draft survey report with human oversight at critical decision points.