Correct Me If You Can: Learning from Error Corrections and Markings. - Julia Kreutzer; Nathaniel Berger; Stefan Riezler (EAMT, 2020)

Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization. - Mayumi Ohta; Nathaniel Berger; Artem Sokolov; Stefan Riezler (LOD (2), 2020)

Don't Search for a Search Method - Simple Heuristics Suffice for Adversarial Text Attacks. - Nathaniel Berger; Stefan Riezler; Sebastian Ebert; Artem Sokolov (EMNLP (1), 2021)

Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training. - Nathaniel Berger; Miriam Exel; Matthias Huck; Stefan Riezler (EAMT, 2023)

Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation. - Nathaniel Berger; Stefan Riezler; Miriam Exel; Matthias Huck (EAMT (1), 2024)

Post-edits Are Preferences Too. - Nathaniel Berger; Stefan Riezler; Miriam Exel; Matthias Huck (WMT, 2024)

Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits. - Nathaniel Berger; Johannes Eschbach-Dymanus; Miriam Exel; Matthias Huck; Stefan Riezler (CoRR, 2025)