12 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 12 cited
Exploring the use of a Large Language Model for data extraction in systematic reviews: a rapid feasibility study
Lena Schmidt, Kaitlyn Hair, Sergio Graziosi +6
This paper describes a rapid feasibility study of using GPT-4, a large language model (LLM), to (semi)automate data extraction in systematic reviews. Despite the recent surge of in…
cs.CL2023★ 2 cited
ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development
Kristen M. Edwards, Binyang Song, Jaron Porciello +3
When designing evidence-based policies and programs, decision-makers must distill key information from a vast and rapidly growing literature base. Identifying relevant literature f…