Applying Dynamic Bayesian Networks for Automated Modeling in ArchiMate: A Realization Study. - Björn Bebensee; Simon Hacks (EDOC Workshops, 2019)

Local Differential Privacy: a tutorial. - Björn Bebensee (CoRR, 2019)

Co-Attentional Transformers for Story-Based Video Understanding. - Björn Bebensee; Byoung-Tak Zhang (ICASSP, 2021)

Leveraging node neighborhoods and egograph topology for better bot detection in social graphs. - Björn Bebensee; Nagmat Nazarov; Byoung-Tak Zhang (Soc. Netw. Anal. Min., 2021)

Span-Selective Linear Attention Transformers for Effective and Robust Schema-Guided Dialogue State Tracking. - Björn Bebensee; Haejun Lee (ACL (1), 2023)

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)