AI RESEARCH
AISysRev -- LLM-based Tool for Title-abstract Screening
arXiv CS.AI
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ArXi:2510.06708v2 Announce Type: replace-cross Conducting systematic reviews is laborious. In the screening or study selection phase, the number of papers can be overwhelming. Recent research has nstrated that large language models (LLMs) can perform title-abstract screening and humans in the task. To this end, we developed AISysRe, an LLM-based screening tool implemented as a containerized web application. The tool accepts CSV files containing paper titles and abstracts. Users specify inclusion and exclusion criteria.