News - Data Science Chair

We had a succesful NAACL 2024 in Mexico City! We showcased "SuperGLEBer" - the first comprehensive German language benchmark, earned a best paper honorable mention with our hierarchical classifier, and even presented the Roman Empire's take on model hallucinations!

In our paper, we use multi-agent systems to simulate labeled company data, allowing us to automatically detect and explain occupational fraud in otherwise unlabeled data.

We are happy to announce that our paper "GrINd: Grid Interpolation Network for Scattered Observations" got accepted for the Research Track at ECML-PKDD 2024! In our work we investigate if Fourier Interpolation can improve the prediction accuracy of physical systems in a low-resolution data regime on the Dynabench Benchmark.

So schnell kann es gehen: Nach nur einem Jahr Bauzeit war der Neubau für das KI-Zentrum CAIDAS der Universität fertig. Zur Eröffnung kam Bayerns Wissenschaftsminister Markus Blume.

In our paper, we use generative diffusion models to aid a specific type of explainable AI methods, allowing them to better explain machine learning models that detect anomalous activities.

In our paper, we assemble a broad Natural Language Understanding benchmark suite for the German language and consequently evaluate a wide array of existing German-capable models in order to create a better understanding of the current state of German LLMs.

Our paper "Marina: Realizing ML-driven Real-time Network Traffic Monitoring at Terabit Scale" has been accepted in the IEEE journal on Transactions on Network and Service Management. The paper is a result of our cooperation with the Prof. Dr. Tobias Hoßfeld and the chair of Communication Networks at the University of Würzburg.

We participated in two SemEval tasks and placed first on average in SemEval'24 Task 4!! OTTERly fantastic!