👨🏫 Can AI help grade exams? Stephan and Alexander Voß explored this question at the AI summit 2025 in their joint contribution Artificially intelligent, fair enough? AI in exam grading. Their examples highlighted both useful support for human graders and limitations, including inconsistent judgments and vulnerability to manipulated submissions.
👨🏫 Stephan presented AI-Based Sleep Analysis: Perspectives and Challenges at the DGSM pre-conference workshop. The talk explored how deep learning can support sleep research, why models can struggle with unfamiliar recording conditions, and what is needed to make automated sleep analysis more reliable.
🏆 Our team won 2nd place in the international competition GermEval 2024 (Subtask 2) on detecting sexism in online news media! Congratulations to all team members! 👏 Helping moderators identify harmful user comments is becoming increasingly important due to the growing number of comments on many platforms. Find out more about our work here: 📄 paper, 👨🏫 presentation, 💡LinkedIn post.
🙌 At the ICLR conference in Vienna, our PhD student Niklas presented his research on overcoming data scarcity in sleep medical settings. Watch his presentation on Pretraining sleep staging models without patient data—a step forward for deep learning applications in limited data environments. ✨
🎉 Our team's research on tackling data scarcity in sleep medical settings has been selected for both an oral presentation and a poster at ICLR 2024. Niklas will present his findings on Pretraining sleep staging models without patient data—opening new doors for deep learning in settings where time series data is limited. 🚀
🤓 Check out our newly published paper on finetuning large language models (LLMs) to decode political conversations in German parliamentary debates. 'Speaker Attribution in German Parliamentary Debates with QLoRA-adapted Large Language Models' offers a novel perspective on automated speaker attribution, facilitating the analysis of political interactions.
🎓 We celebrate Tobias Bornheim who successfully defended his Master thesis on Prompt Engineering vs QLoRA Fine-Tuning of Large Language Models! We are grateful for Tobias' exceptional dedication, which has been instrumental in achieving our three top placings in international NLP competitions - a testament to his invaluable contribution to our team. 🙏