Learning to Defer with Limited Expert Predictions. - Patrick Hemmer; Lukas Thede; Michael Vössing; Johannes Jakubik; Niklas Kühl 001 (AAAI, 2023)

Reflecting on the State of Rehearsal-Free Continual Learning with Pretrained Models. - Lukas Thede; Karsten Roth; Olivier J. Hénaff; Matthias Bethge; Zeynep Akata (CoLLAs, 2024)

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. - Karsten Roth; Lukas Thede; A. Sophia Koepke; Oriol Vinyals; Olivier J. Hénaff; Zeynep Akata (ICLR, 2024)

Understanding the Limits of Lifelong Knowledge Editing in LLMs. - Lukas Thede; Karsten Roth; Matthias Bethge; Zeynep Akata; Tom Hartvigsen (CoRR, 2025)

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study. - Yiran Huang; Lukas Thede; Massimiliano Mancini; Wenjia Xu; Zeynep Akata (CoRR, 2025)