Mara Finkelstein

31 papers A* 4Journal 18Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TranslateGemma Technical Report. CoRR 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
2025	A*	`conf`	From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set. ICML Mara Finkelstein, Daniel Deutsch, Parker Riley, Juraj Juraska, Geza Kovacs, Markus Freitag
2025	J	`jnl`	Generating Difficult-to-Translate Texts. CoRR Vilém Zouhar, Wenda Xu, Parker Riley, Juraj Juraska, Mara Finkelstein, Markus Freitag, Daniel Deutsch
2025	A*	`conf`	Learning from others' mistakes: Finetuning machine translation models with span-level error annotations. ICML Lily H. Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag
2025	J	`jnl`	MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation. CoRR Parker Riley, Daniel Deutsch, Mara Finkelstein, Colten DiIanni, Juraj Juraska, Markus Freitag
2025	J	`jnl`	MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task. CoRR Juraj Juraska, Tobias Domhan, Mara Finkelstein, Tetsuji Nakagawa, Geza Kovacs, Daniel Deutsch, Pidong Wang, Markus Freitag
2025	J	`jnl`	Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation. CoRR Idriss Nguepi Nguefack, Mara Finkelstein, Sakayo Toadoum Sari
2025	J	`jnl`	Searching for Difficult-to-Translate Test Examples at Scale. CoRR Wenda Xu, Vilém Zouhar, Parker Riley, Mara Finkelstein, Markus Freitag, Daniel Deutsch
2025	—	`conf`	WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects. ACL (Findings) 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	J	`jnl`	WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects. CoRR 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
2024	A*	`conf`	Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms. NeurIPS Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag
2024	J	`jnl`	Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms. CoRR Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag
2024	J	`jnl`	From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set. CoRR Mara Finkelstein, Daniel Deutsch, Parker Riley, Juraj Juraska, Geza Kovacs, Markus Freitag
2024	—	`conf`	Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data. WMT Mara Finkelstein, David Vilar, Markus Freitag
2024	J	`jnl`	Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data. CoRR Mara Finkelstein, David Vilar, Markus Freitag
2024	—	`conf`	LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback. NAACL-HLT (Findings) Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag
2024	J	`jnl`	Learning from others' mistakes: Finetuning machine translation models with span-level error annotations. CoRR Lily H. Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag
2024	A*	`conf`	MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods. ICLR Mara Finkelstein, Markus Freitag
2024	—	`conf`	MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. WMT Juraj Juraska, Daniel Deutsch, Mara Finkelstein, Markus Freitag
2024	J	`jnl`	MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. CoRR Juraj Juraska, Daniel Deutsch, Mara Finkelstein, Markus Freitag
2024	—	`conf`	Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model. ACL (1) Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers
2023	J	`jnl`	MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods. CoRR Mara Finkelstein, Subhajit Naskar, Mehdi Mirzazadeh, Apurva Shah, Markus Freitag
2023	—	`conf`	MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task. WMT Juraj Juraska, Mara Finkelstein, Daniel Deutsch, Aditya Siddhant, Mehdi Mirzazadeh, Markus Freitag
2023	J	`jnl`	Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback. CoRR Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag
2023	J	`jnl`	Quality Control at Your Fingertips: Quality-Aware Translation Models. CoRR Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers
2023	—	`conf`	The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. WMT Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
2023	J	`jnl`	The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
2023	—	`conf`	There's No Data like Better Data: Using QE Metrics for MT Data Filtering. WMT Jan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag
2023	J	`jnl`	There's no Data Like Better Data: Using QE Metrics for MT Data Filtering. CoRR Jan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag
2023	—	`conf`	Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level. WMT Daniel Deutsch, Juraj Juraska, Mara Finkelstein, Markus Freitag
2023	J	`jnl`	Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level. CoRR Daniel Deutsch, Juraj Juraska, Mara Finkelstein, Markus Freitag