Freitag, Markus

8 publications

ICML 2025 From Jack of All Trades to Master of One: Specializing LLM-Based Autoraters to a Test Set Mara Finkelstein, Daniel Deutsch, Parker Riley, Juraj Juraska, Geza Kovacs, Markus Freitag

ICML 2025 Learning from Others’ Mistakes: Finetuning Machine Translation Models with Span-Level Error Annotations Lily H Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag

ICML 2025 Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination’s Impact on Machine Translation Muhammed Yusuf Kocyigit, Eleftheria Briakou, Daniel Deutsch, Jiaming Luo, Colin Cherry, Markus Freitag

NeurIPS 2024 Efficient Minimum Bayes Risk Decoding Using Low-Rank Matrix Completion Algorithms Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag

ICLR 2024 MBR and QE Finetuning: Training-Time Distillation of the Best and Most Expensive Decoding Methods Mara Finkelstein, Markus Freitag

ICLR 2023 Language Models Are Multilingual Chain-of-Thought Reasoners Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei

ICML 2023 Scaling Laws for Multilingual Neural Machine Translation Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat

ICLR 2022 Scaling Laws for Neural Machine Translation Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry