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home / docs / papers / cited-by / Who cites «Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All»

Who cites «Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All»

23 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. A New State-of-the-Art BERT Model for Judeo-Arabic — 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026
  2. HalleluBERT: Let Every Token That Has Meaning Bear Its Weight — our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  3. Hebrew Diacritics Restoration using Visual Representation — our card · 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
  4. A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts — our card · 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  5. NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew — our card · 2025 · arXiv:2510.20386
  6. TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew — our card · 2025 · Proceedings of the First BabyLM Workshop
  7. Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers — our card · 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  8. MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts — our card · 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
  9. Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  10. DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew — our card · 2023 · arXiv:2308.16687
  11. Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew — our card · 2023 · arXiv:2311.00658
  12. HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark — our card · 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  13. HeRo: RoBERTa and Longformer Hebrew Language Models — our card · 2023 · arXiv:2304.11077
  14. Multilingual Sequence-to-Sequence Models for Hebrew NLP — our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  15. Temporal Relation Classification in Hebrew — our card · 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
  16. ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development — our card · 2023 · arXiv:2307.08720
  17. goldin-2025-annotation-scheme-factuality-its-application
  18. hefetz-2026-annotation-matters-resolving-cross-corpus — our card
  19. levy-2023-is-probing-all-you-need
  20. malul-2025-lchaim-investigating-long-context-reasoning — our card
  21. miller-2025-systematic-textual-availability-manuscripts — our card
  22. shmidman-2024-otobert-identifying-suffixed-verbal-forms — our card
  23. shmidman-2025-restoring-missing-spaces-scraped-hebrew — our card

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