Simulating and visualizing COVID-19 contact tracing with Corona-Warn-App for increased understanding of its privacy-preserving design. - Nikolas Gritsch; Benjamin Tegeler; Faheem Hassan Zunjani (CoRR, 2022)

Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization. - Björn Deiseroth; Max Meuer; Nikolas Gritsch; Constantin Eichenberg; Patrick Schramowski; Matthias Aßenmacher; Kristian Kersting (NAACL-HLT, 2024)

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts. - Qizhen (Irene) Zhang; Nikolas Gritsch; Dwaraknath Gnaneshwar; Simon Guo 003; David Cairuz; Bharat Venkitesh; Jakob N. Foerster; Phil Blunsom; Sebastian Ruder; Ahmet Üstün; Acyr Locatelli (NeurIPS, 2024)

Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts. - Nikolas Gritsch; Qizhen Zhang; Acyr Locatelli; Sara Hooker; Ahmet Üstün (CoRR, 2024)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)