🔗 Who cites «XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models»

75 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models»

1. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
   The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsAnnual Meeting of the Association for Computational Linguistics (ACL)Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.2023 · 259 citations
2. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
   Tokenization Is More Than CompressionConference on Empirical Methods in Natural Language Processing (EMNLP)Craig W Schmidt, Varshini Reddy, Haoran Zhang, et al.2024 · 66 citations
3. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
   ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference ResolutionWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Milan Straka2023 · 17 citations
4. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM BenchmarksGo Inoue, Bashar Alhafni, Nizar Habash, et al.2026 · 3 citations
5. Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and TigrinyaHailay Kidu Teklehaymanot, Debela Desalegn Yadeta, Wolfgang Nejdl2026

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

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