1 citations · 2 across the 3 of their papers we have counts for
4 papers
AISysRev -- LLM-based Tool for Title-abstract Screening
Aleksi Huotala, Miikka Kuutila, Olli-Pekka Turtio +2
Conducting systematic reviews is laborious. In the screening or study selection phase, the number of papers can be overwhelming. Recent research has demonstrated that large languag…
Research Artifacts in Secondary Studies: A Systematic Mapping in Software Engineering
Aleksi Huotala, Miikka Kuutila, Mika Mäntylä
Context: Systematic reviews (SRs) summarize state-of-the-art evidence in science, including software engineering (SE). Objective: Our objective is to evaluate how SRs report resear…
SESR-Eval: Dataset for Evaluating LLMs in the Title-Abstract Screening of Systematic Reviews
Aleksi Huotala, Miikka Kuutila, Mika Mäntylä
Background: The use of large language models (LLMs) in the title-abstract screening process of systematic reviews (SRs) has shown promising results, but suffers from limited perfor…
The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews
Aleksi Huotala, Miikka Kuutila, Paul Ralph +1
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 proces…