2 citations · 2 across the 2 of their papers we have counts for
3 papers
Large Language Models for Automated Cross-Domain Machine Learning Task Type Identification: A Benchmark Dataset and Evaluation
Petros Tsialis, Steffen Limmer, Tobias Rodemann +1
Machine learning task type identification is essential for constructing valid ML pipelines, yet in practice it is typically specified manually. We investigate whether large languag…
Detection of Personal Data in Structured Datasets Using a Large Language Model
Albert Agisha Ntwali, Luca Rück, Martin Heckmann
We propose a novel approach for detecting personal data in structured datasets, leveraging GPT-4o, a state-of-the-art Large Language Model. A key innovation of our method is the in…
Utilizing Grounded SAM for self-supervised frugal camouflaged human detection
Matthias Pijarowski, Alexander Wolpert, Martin Heckmann +1
Visually detecting camouflaged objects is a hard problem for both humans and computer vision algorithms. Strong similarities between object and background appearance make the task…