LLMs for Efficient Systematic Review Title and Abstract Screening
Published:Dec 12, 2025 03:51
•1 min read
•ArXiv
Analysis
This research explores the application of Large Language Models (LLMs) to streamline the process of title and abstract screening in systematic reviews, focusing on cost-effectiveness. The dynamic few-shot learning approach could significantly reduce the time and resources required for systematic reviews.
Key Takeaways
Reference
“The research focuses on a cost-effective dynamic few-shot learning approach.”