Mara Finkelstein

According to our database, Mara Finkelstein authored at least 15 papers between 2023 and 2024.

Collaborative distances:

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

2024

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

CoRR, 2024

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

Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag

CoRR, 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

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

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

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 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