Markus Freitag
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
9
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation. | Parker Riley, Daniel Deutsch, Mara Finkelstein, Colten DiIanni, Juraj Juraska, Markus Freitag |
| 2025 | ACL | WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects. | Daniel Deutsch, Eleftheria Briakou, Isaac Rayburn Caswell, Mara Finkelstein, Rebecca Galor, Juraj Juraska, Geza Kovacs, Alison Lui, Ricardo Rei, Jason Riesa, Shruti Rijhwani, Parker Riley, Elizabeth Salesky, Firas Trabelsi, Stephanie Winkler, Biao Zhang, Markus Freitag |
| 2025 | ACL | Enhancing Human Evaluation in Machine Translation with Comparative Judgement. | Yixiao Song, Parker Riley, Daniel Deutsch, Markus Freitag |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2024 | ACL | Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model. | Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers |
| 2024 | ICLR | MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods. | Mara Finkelstein, Markus Freitag |
| 2024 | NAACL | Finding Replicable Human Evaluations via Stable Ranking Probability. | Parker Riley, Daniel Deutsch, George F. Foster, Viresh Ratnakar, Ali Dabirmoghaddam, Markus Freitag |
| 2024 | NAACL | LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback. | Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag |
| 2023 | ACL | Prompting PaLM for Translation: Assessing Strategies and Performance. | David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, George F. Foster |
| 2023 | EMNLP | Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration. | Daniel Deutsch, George F. Foster, Markus Freitag |
| 2023 | EMNLP | Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. | Markus Freitag, Behrooz Ghorbani, Patrick Fernandes |
| 2023 | EMNLP | INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. | Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li |
| 2023 | ICLR | 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 |
| 2023 | ICML | Scaling Laws for Multilingual Neural Machine Translation. | Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat |
| 2022 | ACL | A Natural Diet: Towards Improving Naturalness of Machine Translation Output. | Markus Freitag, David Vilar, David Grangier, Colin Cherry, George F. Foster |
| 2022 | ICLR | Scaling Laws for Neural Machine Translation. | Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry |
| 2022 | NAACL | On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation. | Kelly Marchisio, Markus Freitag, David Grangier |
| 2022 | NAACL | Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. | Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schlkopf |
| 2021 | NAACL | Assessing Reference-Free Peer Evaluation for Machine Translation. | Sweta Agrawal, George F. Foster, Markus Freitag, Colin Cherry |
| 2020 | ACL | Translationese as a Language in "Multilingual" NMT. | Parker Riley, Isaac Caswell, Markus Freitag, David Grangier |
| 2020 | EMNLP | BLEU might be Guilty but References are not Innocent. | Markus Freitag, David Grangier, Isaac Caswell |
| 2020 | EMNLP | KoBE: Knowledge-Based Machine Translation Evaluation. | Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey |
| 2018 | EMNLP | Unsupervised Natural Language Generation with Denoising Autoencoders. | Markus Freitag, Scott Roy |
| 2014 | EACL | Jane: Open Source Machine Translation System Combination. | Markus Freitag, Matthias Huck, Hermann Ney |
| 2012 | COLING | Jane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation. | Joern Wuebker, Matthias Huck, Stephan Peitz, Malte Nuhn, Markus Freitag, Jan-Thorsten Peter, Saab Mansour, Hermann Ney |
| 2012 | EAMT | Discriminative Reordering Extensions for Hierarchical Phrase-Based Machine Translation. | Matthias Huck, Stephan Peitz, Markus Freitag, Hermann Ney |
| 2012 | WWW | GovWILD: integrating open government data for transparency. | Christoph Bhm, Markus Freitag, Arvid Heise, Claudia Lehmann, Andrina Mascher, Felix Naumann, Vuk Ercegovac, Mauricio A. Hernndez, Peter Haase, Michael Schmidt |