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Found 3 papers, 1 papers with code
Assessing Political Bias in Large Language Models
From the voting advice of the "Wahl-O-Mat" we quantize the degree of alignment of LLMs with German political parties.
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels
This paper discusses the effects of frugal labeling and proposes to train neural networks for multi-class semantic segmentation on heterogeneously labeled data based on a novel objective function.
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2D Semantic Segmentation
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Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
Recent research in the field of computer vision strongly focuses on deep learning architectures to tackle image processing problems.
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