News - Data Science Chair

We are proud to announce that our chair will be presenting their research with three papers at the ECML PKDD 2024 conference in Vilnius.

Our paper proposes a novel adapter-based approach to integrate knowledge from knowledge graphs into large language models (LLMs).

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.