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# Who cites «AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With»

34 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/)

1. [HalleluBERT: Let Every Token That Has Meaning Bear Its Weight](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-schmitt-hallelubert-let-every-token-that/) *— our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2026-smiley-miqrabert-regression-based-sentence-bert/) *— our card · 2026 · arXiv:2606.19638*
3. [Intertextual Parallel Detection in Biblical Hebrew: A Transformer-Based Benchmark](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2025-smiley-intertextual-parallel-detection-biblical-hebrew/) *— our card · 2025 · arXiv:2506.24117*
4. [A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2024-toker-dataset-metaphor-detection-early-medieval/) *— our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
5. [A Language Modeling Approach to Diacritic-Free Hebrew TTS](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-roth-language-modeling-approach-diacritic-free/) *— our card · 2024 · arXiv:2407.12206*
6. [A Truly Joint Neural Architecture for Segmentation and Parsing](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2024-levi-truly-joint-neural-architecture-segmentation/) *— our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Enhancing TTS Stability in Hebrew using Discrete Semantic Units](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-zeldes-enhancing-tts-stability-hebrew-using/) *— our card · 2024 · arXiv:2410.21502*
8. [MRL Parsing Without Tears: The Case of Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
9. [MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-shmidman-msbert-new-model-reconstruction-lacunae/) *— our card · 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)*
10. [A Transformer-based parser for Syriac morphology](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2023-naaijer-transformer-based-parser-syriac-morphology/) *— our card · 2023 · Proceedings of the Ancient Language Processing Workshop*
11. [Bringing order into the realm of Transformer-based language models for artificial intelligence and law](https://arxiv.org/abs/2308.05502) *— 2023 · arXiv:2308.05502 · Artif Intell Law, Springer Nature. November 2023*
12. [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) *— our card · 2023 · arXiv:2308.16687*
13. [Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2023-shmidman-do-pretrained-contextual-language-models/) *— our card · 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
14. [HeRo: RoBERTa and Longformer Hebrew Language Models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-shalumov-hero-roberta-longformer-hebrew-language/) *— our card · 2023 · arXiv:2304.11077*
15. [Offensive Hebrew Corpus and Detection using BERT](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-hamad-offensive-hebrew-corpus-detection-using/) *— our card · 2023 · arXiv:2309.02724*
16. [ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-marmor-ivrit-ai-comprehensive-dataset-hebrew/) *— our card · 2023 · arXiv:2307.08720*
17. [Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language](https://aclanthology.org/2022.coling-1.372/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
18. [Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-shmidman-introducing-berel-bert-embeddings-rabbinic/) *— our card · 2022 · arXiv:2208.01875*
19. [Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-gueta-large-pre-trained-models-extra/) *— our card · 2022 · arXiv:2211.15199*
20. [Sort by Structure: Language Model Ranking as Dependency Probing](https://aclanthology.org/2022.naacl-main.93/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
21. [Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers](https://aclanthology.org/2022.coling-1.413/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
22. [Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-benbaji-word-embeddings-distinguish-denominal-root/) *— our card · 2022 · EPTCS 366, 2022, pp. 35-49*
23. [ParaShoot: A Hebrew Question Answering Dataset](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-keren-parashoot-hebrew-question-answering-dataset/) *— our card · 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering*
24. [Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets](https://arxiv.org/abs/2103.12028) *— 2021 · arXiv:2103.12028 · Transactions of the Association for Computational Linguistics (2022) 10: 50-72*
25. [Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://arxiv.org/abs/2111.01243) *— 2021 · arXiv:2111.01243*
26. esmeir-2022-entity-retrieval-multilingual-knowledge-graphs
27. galperin-2022-cross-lingual-umls-named-entity
28. [hagag-2023-truth-whole-truth-nothing-but](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-hagag-truth-whole-truth-nothing-but/) *— our card*
29. [hefetz-2026-annotation-matters-resolving-cross-corpus](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-hefetz-annotation-matters-resolving-cross-corpus/) *— our card*
30. [liebeskind-2024-linguistics-practice-case-study-offensive](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-liebeskind-linguistics-practice-case-study-offensive/) *— our card*
31. lior-2024-leveraging-collection-wide-similarities-unsupervised
32. [litvak-2022-detection-negative-campaign-israeli-municipal](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2022-litvak-detection-negative-campaign-israeli-municipal/) *— our card*
33. marilign-2025-amharic-news-topic-classification-dataset
34. shriki-2022-masking-morphosyntactic-categories-evaluate-salience
- [← previous Who cites «HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/)
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