🧑‍🔬 Who cites Johannes Leveling

466 citations of their works from 466 papers of our library (of the 140,884 whose bibliographies we read) · 55 with a page here, the most cited first · ← Johannes Leveling

1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerColin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 7,433 citations
2. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
3. chrF: character n-gram F-score for automatic MT evaluationMaja Popović2015 · 2,105 citations
4. COMET: A Neural Framework for MT EvaluationRicardo Rei, Craig Stewart, Ana C Farinha, et al.2020 · 1,784 citations
5. Prompt Programming for Large Language Models: Beyond the Few-Shot ParadigmLaria Reynolds, Kyle McDonell2021 · 1,111 citations
6. RoFormer: Enhanced Transformer with Rotary Position EmbeddingJianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 1,072 citations
7. Findings of the 2016 Conference on Machine TranslationOndřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2016 · 936 citations
8. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationDaniel Cer, Mona Diab, Eneko Agirre, et al.2017 · 907 citations
9. Findings of the 2019 Conference on Machine Translation (WMT19)Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.2019 · 839 citations
10. Findings of the 2018 Conference on Machine Translation (WMT18)Ondřej Bojar, Christian Federmann, Mark Fishel, et al.2018 · 747 citations
11. Findings of the 2017 Conference on Machine Translation (WMT17)Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2017 · 685 citations
12. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response GenerationChia-Wei Liu, Ryan Lowe, Iulian Serban, et al.2016 · 500 citations
13. Findings of the 2015 Workshop on Statistical Machine TranslationOndřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2015 · 461 citations
14. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsYuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 427 citations
15. Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation MetricsNitika Mathur, Timothy Baldwin, Trevor Cohn2020 · 385 citations
16. Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesGowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al.2022 · 307 citations
17. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferTu Vu, Brian Lester, Noah Constant, et al.2022 · 300 citations
18. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesRishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 288 citations
19. Adaptively Sparse TransformersGonçalo M. Correia, Vlad Niculae, André F. T. Martins2019 · 270 citations
20. CUAD: An Expert-Annotated NLP Dataset for Legal Contract ReviewDan Hendrycks, Collin Burns, Anya Chen, et al.2021 · 265 citations
21. Multilingual Translation from Denoising Pre-TrainingYuqing Tang, Chau Tran, Xian Li, et al.2021 · 219 citations
22. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesJay Gala, Pranjal A. Chitale, Raghavan AK, et al.2023 · 200 citations
23. End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal ClassificationJindřich Libovický, Jindřich Helcl2018 · 200 citations
24. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
25. Report on the 11th IWSLT evaluation campaignMauro Cettolo, Jan Niehues, Sebastian Stüker, et al.2014 · 193 citations
26. Findings of the 2021 Conference on Machine Translation (WMT21)Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al.2021 · 189 citations
27. Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved YetTom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.2024 · 177 citations
28. Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLPRob van der Goot, Ahmet Üstün, Alan Ramponi, et al.2021 · 177 citations
29. The IIT Bombay English-Hindi Parallel CorpusAnoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya2018 · 174 citations
30. Results of the WMT14 Metrics Shared TaskMatouš Macháček, Ondřej Bojar2014 · 174 citations
31. Probing What Different NLP Tasks Teach Machines about Function Word ComprehensionNajoung Kim, Roma Patel, Adam Poliak, et al.2019 · 161 citations
32. Accurate Evaluation of Segment-level Machine Translation MetricsYvette Graham, Timothy Baldwin, Nitika Mathur2015 · 155 citations
33. Statistical Power and Translationese in Machine Translation EvaluationYvette Graham, Barry Haddow, Philipp Koehn2020 · 150 citations
34. Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine TranslationJungo Kasai, Nikolaos Pappas, Hao Peng, et al.2020 · 132 citations
35. GlotLID: Language Identification for Low-Resource LanguagesAmir Hossein Kargaran, Ayyoob Imani, François Yvon, et al.2023 · 115 citations
36. MEANT 2.0: Accurate semantic MT evaluation for any output languageChi-kiu Lo2017 · 81 citations
37. MLQE-PE: A Multilingual Quality Estimation and Post-Editing DatasetMarina Fomicheva, Shuo Sun, Erick Fonseca, et al.2022 · 76 citations
38. chrF deconstructed: beta parameters and n-gram weightsMaja Popović2016 · 76 citations
39. 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
40. Tokenization Is More Than CompressionCraig W Schmidt, Varshini Reddy, Haoran Zhang, et al.2024 · 66 citations
41. An Open Dataset and Model for Language IdentificationLaurie Burchell, Alexandra Birch, Nikolay Bogoychev, et al.2023 · 59 citations
42. HUME: Human UCCA-Based Evaluation of Machine TranslationAlexandra Birch, Omri Abend, Ondřej Bojar, et al.2016 · 58 citations
43. Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationChristos Baziotis, Prashant Mathur, Eva Hasler2023 · 40 citations
44. Discourse Structure in Machine Translation EvaluationShafiq Joty, Francisco Guzmán, Lluís Màrquez, et al.2017 · 40 citations
45. Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum LearningYang Zhang, Amr Mohamed, Hadi Abdine, et al.2026 · 7 citations
46. Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsMohamed Taher Alrefaie, Nour Eldin Morsy, Nada Samir2024 · 5 citations
47. Predicting and Using a Pragmatic Component of Lexical Aspect of Simple Past Verbal Tenses for Improving English-to-French Machine TranslationSharid Loáiciga, Cristina Grisot2016 · 5 citations
48. Kuwain 1.5B: An Arabic SLM via Language InjectionKhalil Hennara, Sara Chrouf, Mohamed Motaism Hamed, et al.2025 · 4 citations
49. MoVoC: Morphology-Aware Subword Construction for Ge'ez Script LanguagesHailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl2025 · 4 citations
50. MoVoC: Morphology-Aware Subword Construction for Geez Script LanguagesHailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl2025 · 4 citations
51. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM BenchmarksGo Inoue, Bashar Alhafni, Nizar Habash, et al.2026 · 3 citations
52. Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMsYara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
53. Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMsYara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
54. When Alignment Hurts: Decoupling Representational Spaces in Multilingual ModelsAhmed Elshabrawy, Hour Kaing, Haiyue Song, et al.2025 · 1 citation
55. A Single Model Ensemble Framework for Neural Machine Translation Using Pivot TranslationSeokjin Oh, Keonwoong Noh, Woohwan Jung2026

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