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Who cites «Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates»

561 papers of our library cite it (of the 140,884 whose bibliographies we read) · 56 with a page here, the most cited first · ← the paper

  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. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationJingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,806 citations
  4. mT5: A Massively Multilingual Pre-trained Text-to-Text TransformerLinting Xue, Noah Constant, Adam Roberts, et al.2021 · 1,574 citations
  5. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingPengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,316 citations
  6. AraBERT: Transformer-based Model for Arabic Language UnderstandingWissam Antoun, Fady Baly, Hazem Hajj2020 · 1,297 citations
  7. CamemBERT: a Tasty French Language ModelLouis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.2019 · 1,262 citations
  8. CCNet: Extracting High Quality Monolingual Datasets from Web Crawl DataGuillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.2020 · 650 citations
  9. CoCa: Contrastive Captioners are Image-Text Foundation ModelsJiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 646 citations
  10. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
  11. Few-shot Learning with Multilingual Language ModelsXi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 496 citations
  12. Are All Languages Created Equal in Multilingual BERT?Shijie Wu, Mark Dredze2020 · 458 citations
  13. BPE-Dropout: Simple and Effective Subword RegularizationIvan Provilkov, Dmitrii Emelianenko, Elena Voita2020 · 389 citations
  14. Choosing Transfer Languages for Cross-Lingual LearningYu-Hsiang Lin, Chian-Yu Chen, Jean Lee, et al.2019 · 313 citations
  15. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  16. Survey of Low-Resource Machine TranslationBarry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.2022 · 251 citations
  17. Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-ArtPatrick Lewis, Myle Ott, Jingfei Du, et al.2020 · 240 citations
  18. AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on TweetsMarco Polignano, Pierpaolo Basile, Marco de Gemmis, et al.2019 · 228 citations
  19. Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsNeel Jain, Avi Schwarzschild, Yuxin Wen, et al.2023 · 224 citations
  20. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
  21. On Exposure Bias, Hallucination and Domain Shift in Neural Machine TranslationChaojun Wang, Rico Sennrich2020 · 204 citations
  22. AraT5: Text-to-Text Transformers for Arabic Language GenerationEl Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed2022 · 201 citations
  23. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesThuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 179 citations
  24. Charformer: Fast Character Transformers via Gradient-based Subword TokenizationYi Tay, Vinh Q. Tran, Sebastian Ruder, et al.2021 · 179 citations
  25. Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language ProcessingMinh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, et al.2021 · 169 citations
  26. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 164 citations
  27. Larger-Scale Transformers for Multilingual Masked Language ModelingNaman Goyal, Jingfei Du, Myle Ott, et al.2021 · 160 citations
  28. Testing the Predictions of Surprisal Theory in 11 LanguagesEthan G. Wilcox, Tiago Pimentel, Clara Meister, et al.2023 · 158 citations
  29. Canine: Pre-training an Efficient Tokenization-Free Encoder for Language RepresentationJonathan H. Clark, Dan Garrette, Iulia Turc, et al.2022 · 156 citations
  30. A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News TranslationDavid Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.2022 · 155 citations
  31. Language Model Tokenizers Introduce Unfairness Between LanguagesAleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.2023 · 149 citations
  32. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetHugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 145 citations
  33. Byte Pair Encoding is Suboptimal for Language Model PretrainingKaj Bostrom, Greg Durrett2020 · 136 citations
  34. Domain Robustness in Neural Machine TranslationMathias Müller, Annette Rios, Rico Sennrich2020 · 135 citations
  35. Tokenizer Choice For LLM Training: Negligible or Crucial?Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 102 citations
  36. Language Modeling Is CompressionGregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 89 citations
  37. Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLPSabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.2021 · 89 citations
  38. Arabic Speech Recognition by End-to-End, Modular Systems and HumanAmir Hussein, Shinji Watanabe, Ahmed Ali2021 · 76 citations
  39. Finding the Optimal Vocabulary Size for Neural Machine TranslationThamme Gowda, Jonathan May2020 · 72 citations
  40. The SIGMORPHON 2022 Shared Task on Morpheme SegmentationKhuyagbaatar Batsuren, Gabor Bella, Aryaman Arora2022 · 71 citations
  41. Tokenization Is More Than CompressionCraig W Schmidt, Varshini Reddy, Haoran Zhang, et al.2024 · 66 citations
  42. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsAaditya K. Singh, DJ Strouse2024 · 53 citations
  43. Getting the most out of your tokenizer for pre-training and domain adaptationGautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 44 citations
  44. Beyond Correlation: Interpretable Evaluation of Machine Translation MetricsStefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al.2024 · 15 citations
  45. The Impact of Token Granularity on the Predictive Power of Language Model SurprisalByung-Doh Oh, William Schuler2025 · 12 citations
  46. Optimizing the Size of Subword Vocabularies in Dialect ClassificationVani Kanjirangat, Tanja Samardžić, Ljiljana Dolamic, et al.2023 · 11 citations
  47. Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsMohamed Taher Alrefaie, Nour Eldin Morsy, Nada Samir2024 · 5 citations
  48. Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMsYara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
  49. Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMsYara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
  50. Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for MalteseKurt Abela, Kurt Micallef, Marc Tanti, et al.2024 · 1 citation
  51. Bringing Mapudungun into the Modern MT Ecosystem: Morphology-Aware Tokenization for NLLB-200 Fine-TuningIsaac Thompson, Brandon Rogers, Eric Ringger2026
  52. SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language ModelsDong Liu, Yanxuan Yu2026
  53. Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious DatasetNick Rossenbach, Robin Schmitt, Tina Raissi, et al.2026
  54. The Impact of Tokenization Algorithms on Hungarian Language Model PerformanceMátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.2026
  55. AraToken: Optimizing Arabic Tokenization with Normalization Pipeline and Language Extension for Qwen3Mark Kashirskiy, Artiom Lipinski, Ilya Makarov2025
  56. Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMTBrendan T. Hatch, Stephen D. Richardson2025

505 more papers of our library cite it; they have no page here yet.

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