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cs.LG2025
Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets
Sarina Penquitt, Tobias Riedlinger, Timo Heller +2
Recently, detection of label errors and improvement of label quality in datasets for supervised learning tasks has become an increasingly important goal in both research and indust…
cs.CL2025
Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters
David Exler, Mark Schutera, Markus Reischl +1
With the increasing prevalence of artificial intelligence, careful evaluation of inherent biases needs to be conducted to form the basis for alleviating the effects these predispos…