🧑‍🔬 Who cites Mohammad Amin Farajian

627 citations of their works from 571 papers of our library (of the 140,884 whose bibliographies we read) · 45 with a page here, the most cited first · ← Mohammad Amin Farajian

1. COMET: A Neural Framework for MT EvaluationRicardo Rei, Craig Stewart, Ana C Farinha, et al.2020 · 1,784 citations
2. Simple, Scalable Adaptation for Neural Machine TranslationAnkur Bapna, Orhan Firat2019 · 524 citations
3. Findings of the 2020 Conference on Machine Translation (WMT20)Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.2020 · 401 citations
4. Unsupervised Domain Clusters in Pretrained Language ModelsRoee Aharoni, Yoav Goldberg2020 · 326 citations
5. A Survey of Domain Adaptation for Neural Machine TranslationChenhui Chu, Rui Wang2018 · 304 citations
6. Training Neural Machine Translation to Apply Terminology ConstraintsGeorgiana Dinu, Prashant Mathur, Marcello Federico, et al.2019 · 242 citations
7. OpenKiwi: An Open Source Framework for Quality EstimationFabio Kepler, Jonay Trénous, Marcos Treviso, et al.2019 · 215 citations
8. Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemDanielle Saunders, Bill Byrne2020 · 196 citations
9. Findings of the WMT 2020 Shared Task on Quality EstimationLucia Specia, Frédéric Blain, Marina Fomicheva, et al.2020 · 160 citations
10. Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors PersistMarzena Karpinska, Mohit Iyyer2023 · 156 citations
11. Findings of the WMT 2019 Shared Task on Automatic Post-EditingRajen Chatterjee, Christian Federmann, Matteo Negri, et al.2019 · 102 citations
12. Unbabel's Participation in the WMT20 Metrics Shared TaskRicardo Rei, Craig Stewart, Ana C Farinha, et al.2020 · 98 citations
13. Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test SetsTom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.2025 · 73 citations
14. Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level MetricGiorgos Vernikos, Brian Thompson, Prashant Mathur, et al.2022 · 68 citations
15. DiscoScore: Evaluating Text Generation with BERT and Discourse CoherenceWei Zhao, Michael Strube, Steffen Eger2023 · 53 citations
16. Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form TextsEleftheria Briakou, Jiaming Luo, Colin Cherry, et al.2024 · 46 citations
17. Findings of the WMT 2020 Shared Task on Chat TranslationM. Amin Farajian, António V. Lopes, André F. T. Martins, et al.2020 · 29 citations
18. MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation EvaluatorsQingyu Lu, Liang Ding, Kanjian Zhang, et al.2025 · 22 citations
19. Beyond Correlation: Interpretable Evaluation of Machine Translation MetricsStefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al.2024 · 15 citations
20. TurBLiMP: A Turkish Benchmark of Linguistic Minimal PairsEzgi Başar, Francesca Padovani, Jaap Jumelet, et al.2025 · 14 citations
21. DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine TranslationFederico Martelli, Stefano Perrella, Niccolò Campolungo, et al.2025 · 11 citations
22. The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language TechnologyShahad Al-Khalifa; Nadir Durrani; Hend Al-Khalifa;, Firoj Alam2025 · 4 citations
23. Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine TranslationMarii Ojastu, Hele-Andra Kuulmets, Aleksei Dorkin, et al.2026 · 3 citations
24. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesChiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations
25. PHEB: An European Portuguese High School-Level LLM BenchmarkDiogo C. Tavares, Rafael Ferreira, Afonso Simplício, et al.2026 · 2 citations
26. Anchoring the Judge: Curriculum-Based Adaptation and Reference-Anchored MQM for LLM-Based Machine Translation of an Unseen Low-Resource Language - A Case of NupeUmar Baba Umar, Sulaimon Adebayo Bashir, Abdulmalik Danlami Mohammed2026 · 1 citation
27. Biases in Translation: Assessing Opinion Distortion in Machine Translated TextsNazanin Shafiabadi, François Yvon2026 · 1 citation
28. Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?Aishwarya Ramasethu, Rohin Garg, Niyathi Allu, et al.2026 · 1 citation
29. Can LLMs Translate Italy's Language Varieties?Edoardo Signoroni, Pavel Rychlý2026 · 1 citation
30. Multilingual Communication in the Asylum Context: Evaluating LLM-Based Machine Translation with Fuzzy Match Augmentation and Adaptive NMT across Resource Conditions under Low-Data ConstraintsThomas Moerman, Arda Tezcan, Lieve Macken2026 · 1 citation
31. Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026Enes Yavuz Ugan, Maike Züfle, Yuka Ko, et al.2026 · 1 citation
32. Speak in Context: Multilingual ASR with Speech–Context Alignment via Contrastive LearningYuchen Zhang, Haralambos Mouratidis, Ravi Shekhar2026 · 1 citation
33. When Translations Surprise: Human Awareness of Predictability in TranslationsCristian García-Romero, Miquel Esplà-Gomis, Felipe Sanchez-Martinez2026 · 1 citation
34. A Multilingual Red Teaming–Driven Safety Analysis of LLMsPatrícia Pandeiro, Vera Cabarrão, Helena Moniz2026
35. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyPaolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.2026
36. Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine TranslationLu Xu, Luca Moroni, Roberto Navigli2026
37. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsCharlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
38. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusAidan Mannion, Cécile Macaire, Armand Violle, et al.2026
39. One Size Does Not Fit All: Why EU Legislative Translation Demands Domain-Specific Fine-Tuning of LLMsValerio Lorini, Paula Vlaic, Ulascan Akbulut, et al.2026
40. Reading Time in the Wild: An Assessment of Readability Predictors Based on Naturally-Observed Reading TimesSijbren van Vaals, Rik van Noord, Malvina Nissim2026
41. Rethinking Gender Annotation for Bias Evaluation in Machine Translation: Can LLMs Improve Reliability?Chiara Manna, Argentina Anna Rescigno, Eva Vanmassenhove2026
42. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL PlatformPanagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.2026
43. When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated ContentLydia Nishimwe, Benoît Sagot, Rachel Bawden2026
44. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationShenbin Qian, Yves Scherrer2026
45. Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.2024

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