Skip to content
conftrace_

Mara Finkelstein

18 papers · 2023–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Jump to papers ↓
+4 more ↓ 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (17) 🔬 Deep Specialist (15)
🗃️ Keyword Collector (78) ⚡ Prolific Year · Productive 📈 Trend Setter 💎 Century Club · Bronze

Papers

Generating Difficult-to-Translate Texts EACL 2026 MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation ACL 2026 From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set ICML 2025 Google Translate’s Research Submission to WMT2025 EMNLP 2025 Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations ICML 2025 MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task EMNLP 2025 Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation ACL 2025 WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects ACL 2025 Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NeurIPS 2024 Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data EMNLP 2024 LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback NAACL 2024 MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods ICLR 2024 MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task EMNLP 2024 Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model ACL 2024 MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task EMNLP 2023 The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation EMNLP 2023 There’s No Data like Better Data: Using QE Metrics for MT Data Filtering EMNLP 2023 Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level EMNLP 2023