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The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews
April 25, 2024, 5:44 p.m. | Aleksi Huotala, Miikka Kuutila, Paul Ralph, Mika M\"antyl\"a
cs.CL updates on arXiv.org arxiv.org
Abstract: Systematic review (SR) is a popular research method in software engineering (SE). However, conducting an SR takes an average of 67 weeks. Thus, automating any step of the SR process could reduce the effort associated with SRs. Our objective is to investigate if Large Language Models (LLMs) can accelerate title-abstract screening by simplifying abstracts for human screeners, and automating title-abstract screening. We performed an experiment where humans screened titles and abstracts for 20 papers with …
abstract arxiv challenges cs.ai cs.cl engineering however llms popular process reduce research review reviews screening software software engineering type
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