The article discusses the challenges posed by vulnerabilities in Open-Source Software (OSS) and the difficulties in automated vulnerability detection. The authors propose an automated data collection framework to construct a…
Continue readingThe Genie method, proposed by researchers at IBM Israel Research Lab, Hebrew University of Jerusalem, and MIT, aims to generate high-quality, synthetic, content-grounded data. The method involves three stages: Content…
Continue readingThis article explores the problem of dataset selection for training large-scale models. The authors argue that traditional methods, which filter data based on human notions of quality, often do not…
Continue readingThe article discusses the design of a tablet-based application called Co-ML meant to foster learning of Dataset Design Practices (DDPs) for creating inclusive ML models. The application allows beginners to…
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