most citedDriftGAN: Using historical data for Unsupervised Recurring Drift Detection

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

GradeLegal: Automated Grading for German Legal Cases

Abdullah Al Zubaer, Lorenz Wendlinger, Simon Alexander Nonn +2

Grading German legal exam solutions faces growing volumes and a shortage of qualified graders, delaying feedback and creating a bottleneck. At the same time, it is a high-stakes ex…

cs.LG2026

Robust Generalizable Heterogeneous Legal Link Prediction

Lorenz Wendlinger, Simon Alexander Nonn, Abdullah Al Zubaer +1

Recent work has applied link prediction to large heterogeneous legal citation networks \new{with rich meta-features}. We find that this approach can be improved by including edge d…

cs.CL2024

On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education

Lorenz Wendlinger, Christian Braun, Abdullah Al Zubaer +4

We show that current open-source foundational LLMs possess instruction capability and German legal background knowledge that is sufficient for some legal analysis in an educational…

cs.LG2024

SUDS: A Strategy for Unsupervised Drift Sampling

Christofer Fellicious, Lorenz Wendlinger, Mario Gancarski +2

Supervised machine learning often encounters concept drift, where the data distribution changes over time, degrading model performance. Existing drift detection methods focus on id…

cs.LG2024★ 2 cited

DriftGAN: Using historical data for Unsupervised Recurring Drift Detection

Christofer Fellicious, Sahib Julka, Lorenz Wendlinger +1

In real-world applications, input data distributions are rarely static over a period of time, a phenomenon known as concept drift. Such concept drifts degrade the model's predictio…