🔗 Who cites «Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words»

61 papers of our library cite it (of the 140,884 whose bibliographies we read) · 7 with a page here, the most cited first · ← the paper

1. Language Model Tokenizers Introduce Unfairness Between LanguagesAleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.2023 · 149 citations
2. 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
3. Tokenization Is More Than CompressionCraig W Schmidt, Varshini Reddy, Haoran Zhang, et al.2024 · 66 citations
4. Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language ModelLeonie Weissweiler, Valentin Hofmann, Anjali Kantharuban2023 · 47 citations
5. HeSum: a Novel Dataset for Abstractive Text Summarization in HebrewTzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.2024 · 7 citations
6. Explicit Morphological Knowledge Improves Pre-training of Language Models for HebrewEylon Gueta, Omer Goldman, Reut Tsarfaty2023 · 7 citations
7. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM BenchmarksGo Inoue, Bashar Alhafni, Nizar Habash, et al.2026 · 3 citations

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

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