Mara Finkelstein

According to our database, Mara Finkelstein authored at least 23 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TranslateGemma Technical Report.

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

CoRR, January, 2026

2025

Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation.

Idriss Nguepi Nguefack, Mara Finkelstein, Sakayo Toadoum Sari

CoRR, October, 2025

MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation.

Parker Riley, Daniel Deutsch, Mara Finkelstein, Colten DiIanni, Juraj Juraska, Markus Freitag

CoRR, October, 2025

Searching for Difficult-to-Translate Test Examples at Scale.

Wenda Xu, Vilém Zouhar, Parker Riley, Mara Finkelstein, Markus Freitag, Daniel Deutsch

CoRR, September, 2025

Generating Difficult-to-Translate Texts.

Vilém Zouhar, Wenda Xu, Parker Riley, Juraj Juraska, Mara Finkelstein, Markus Freitag, Daniel Deutsch

CoRR, September, 2025

MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task.

Juraj Juraska, Tobias Domhan, Mara Finkelstein, Tetsuji Nakagawa, Geza Kovacs, Daniel Deutsch, Pidong Wang, Markus Freitag

Proceedings of the Tenth Conference on Machine Translation, 2025

Google Translate's Research Submission to WMT2025.

Mara Finkelstein, Geza Kovacs, Isaac Caswell, Tobias Domhan, Jan-Thorsten Peter, Juraj Juraska, Markus Freitag, David Vilar

Proceedings of the Tenth Conference on Machine Translation, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task.

Juraj Juraska, Daniel Deutsch, Mara Finkelstein, Markus Freitag

Proceedings of the Ninth Conference on Machine Translation, 2024

Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data.

Mara Finkelstein, David Vilar, Markus Freitag

Proceedings of the Ninth Conference on Machine Translation, 2024

Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms.

Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods.

Mara Finkelstein, Markus Freitag

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Pinpoint, Not Criticize: 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

CoRR, 2023

Quality Control at Your Fingertips: Quality-Aware Translation Models.

Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers

CoRR, 2023

MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods.

Mara Finkelstein, Subhajit Naskar, Mehdi Mirzazadeh, Apurva Shah, Markus Freitag

CoRR, 2023

There's No Data like Better Data: Using QE Metrics for MT Data Filtering.

Jan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag

Proceedings of the Eighth Conference on Machine Translation, 2023

MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task.

Juraj Juraska, Mara Finkelstein, Daniel Deutsch, Aditya Siddhant, Mehdi Mirzazadeh, Markus Freitag

Proceedings of the Eighth Conference on Machine Translation, 2023

The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat

Proceedings of the Eighth Conference on Machine Translation, 2023

Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level.

Daniel Deutsch, Juraj Juraska, Mara Finkelstein, Markus Freitag

Proceedings of the Eighth Conference on Machine Translation, 2023