LLMs for Efficient Systematic Review Title and Abstract Screening
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 / Citation
View Original"The research focuses on a cost-effective dynamic few-shot learning approach."