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2020 – today
- 2026
[i18]Mara Finkelstein, Isaac Caswell, Tobias Domhan, Jan-Thorsten Peter, Juraj Juraska, Parker Riley, Daniel Deutsch, Geza Kovacs, Cole Dilanni, Colin Cherry, Eleftheria Briakou, Elizabeth Nielsen, Jiaming Luo, Kat Black, Ryan Mullins, Sweta Agrawal, Wenda Xu, Erin Kats, Stephane Jaskiewicz, Markus Freitag, David Vilar:
TranslateGemma Technical Report. CoRR abs/2601.09012 (2026)- 2025
- [c13]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:
WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects. ACL (Findings) 2025: 12257-12284 - [c12]Mara Finkelstein, Daniel Deutsch, Parker Riley, Juraj Juraska, Geza Kovacs, Markus Freitag:
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set. ICML 2025 - [c11]Lily H. Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag:
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations. ICML 2025 - [i17]Daniel Deutsch, Eleftheria Briakou, Isaac 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:
WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects. CoRR abs/2502.12404 (2025) - [i16]Vilém Zouhar, Wenda Xu, Parker Riley, Juraj Juraska, Mara Finkelstein, Markus Freitag, Daniel Deutsch:
Generating Difficult-to-Translate Texts. CoRR abs/2509.26592 (2025) - [i15]Wenda Xu, Vilém Zouhar, Parker Riley, Mara Finkelstein, Markus Freitag, Daniel Deutsch:
Searching for Difficult-to-Translate Test Examples at Scale. CoRR abs/2509.26619 (2025) - [i14]Parker Riley, Daniel Deutsch, Mara Finkelstein, Colten DiIanni, Juraj Juraska, Markus Freitag:
MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation. CoRR abs/2510.24664 (2025) - [i13]Juraj Juraska, Tobias Domhan, Mara Finkelstein, Tetsuji Nakagawa, Geza Kovacs, Daniel Deutsch, Pidong Wang, Markus Freitag:
MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task. CoRR abs/2510.24707 (2025) - [i12]Idriss Nguepi Nguefack, Mara Finkelstein, Sakayo Toadoum Sari:
Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation. CoRR abs/2510.25116 (2025) - 2024
- [c10]Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers:
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model. ACL (1) 2024: 15660-15679 - [c9]Mara Finkelstein, Markus Freitag:
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods. ICLR 2024 - [c8]Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag:
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback. NAACL-HLT (Findings) 2024: 1429-1445 - [c7]Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag:
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms. NeurIPS 2024 - [c6]Juraj Juraska, Daniel Deutsch, Mara Finkelstein, Markus Freitag:
MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. WMT 2024: 492-504 - [c5]Mara Finkelstein, David Vilar, Markus Freitag:
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data. WMT 2024: 1355-1372 - [i11]Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag:
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms. CoRR abs/2406.02832 (2024) - [i10]Mara Finkelstein, David Vilar, Markus Freitag:
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data. CoRR abs/2408.06537 (2024) - [i9]Juraj Juraska, Daniel Deutsch, Mara Finkelstein, Markus Freitag:
MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. CoRR abs/2410.03983 (2024) - [i8]Lily H. Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag:
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations. CoRR abs/2410.16509 (2024) - [i7]Mara Finkelstein, Daniel Deutsch, Parker Riley, Juraj Juraska, Geza Kovacs, Markus Freitag:
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set. CoRR abs/2411.15387 (2024) - 2023
- [c4]Jan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag:
There's No Data like Better Data: Using QE Metrics for MT Data Filtering. WMT 2023: 561-577 - [c3]Juraj Juraska, Mara Finkelstein, Daniel Deutsch, Aditya Siddhant, Mehdi Mirzazadeh, Markus Freitag:
MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task. WMT 2023: 756-767 - [c2]Daniel Deutsch, Juraj Juraska, Mara Finkelstein, Markus Freitag:
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level. WMT 2023: 996-1013 - [c1]Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat:
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. WMT 2023: 1066-1083 - [i6]Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins
, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat:
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR abs/2308.07286 (2023) - [i5]Daniel Deutsch, Juraj Juraska, Mara Finkelstein, Markus Freitag:
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level. CoRR abs/2308.13506 (2023) - [i4]Mara Finkelstein, Subhajit Naskar, Mehdi Mirzazadeh, Apurva Shah, Markus Freitag:
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods. CoRR abs/2309.10966 (2023) - [i3]Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers:
Quality Control at Your Fingertips: Quality-Aware Translation Models. CoRR abs/2310.06707 (2023) - [i2]Jan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag:
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering. CoRR abs/2311.05350 (2023) - [i1]Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag:
Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback. CoRR abs/2311.09336 (2023)
Coauthor Index
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