--- title: "Who cites AlephBERT: A Hebrew Large Pre-Trained Language…" description: "34 papers of the Elamur Research library cite «AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With», found…" canonical: "https://research.elamur.ai/free/en/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [AlephBERT: A Hebrew Large Pre-Trained Language…](https://md.research.elamur.ai/free/en/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) / cited by # 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 (of the 140884 whose bibliographies we read) · 25 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) - [Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) — Bonan Min, Hayley Ross, Elior Sulem, et al. · 2021 · 1 548 citations - [Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets](https://md.research.elamur.ai/free/en/papers/kreutzer-2021-quality-glance-audit-web-crawled/) — Julia Kreutzer, Isaac Caswell, Lisa Wang, et al. · 2021 · 447 citations - [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.research.elamur.ai/free/en/papers/hbo-2022-gueta-large-pre-trained-models-extra/) — Eylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al. · 2022 · 28 citations - [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://md.research.elamur.ai/free/en/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) — Shaltiel Shmidman, Avi Shmidman, Moshe Koppel · 2023 · 22 citations - [HeRo: RoBERTa and Longformer Hebrew Language Models](https://md.research.elamur.ai/free/en/papers/langstream-2023-shalumov-hero-roberta-longformer-hebrew-language/) — Vitaly Shalumov, Harel Haskey · 2023 · 15 citations - [Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language](https://md.research.elamur.ai/free/en/papers/hbo-2022-shmidman-introducing-berel-bert-embeddings-rabbinic/) — Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al. · 2022 · 13 citations - [ParaShoot: A Hebrew Question Answering Dataset](https://md.research.elamur.ai/free/en/papers/ud-2021-keren-parashoot-hebrew-question-answering-dataset/) — Omri Keren, Omer Levy · 2021 · 12 citations - [Offensive Hebrew Corpus and Detection using BERT](https://md.research.elamur.ai/free/en/papers/langstream-2023-hamad-offensive-hebrew-corpus-detection-using/) — Nagham Hamad, Mustafa Jarrar, Mohammad Khalilia, et al. · 2023 · 11 citations - [MRL Parsing Without Tears: The Case of Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) — Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al. · 2024 · 8 citations - [A Truly Joint Neural Architecture for Segmentation and Parsing](https://md.research.elamur.ai/free/en/papers/eacl-2024-levi-truly-joint-neural-architecture-segmentation/) — Danit Yshaayahu Levi, Reut Tsarfaty · 2024 · 7 citations - [ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development](https://md.research.elamur.ai/free/en/papers/langstream-2023-marmor-ivrit-ai-comprehensive-dataset-hebrew/) — Yanir Marmor, Kinneret Misgav, Yair Lifshitz · 2023 · 6 citations - [A Transformer-based parser for Syriac morphology](https://md.research.elamur.ai/free/en/papers/aclbulk-2023-naaijer-transformer-based-parser-syriac-morphology/) — Martijn Naaijer, Constantijn Sikkel, Mathias Coeckelbergs, et al. · 2023 · 5 citations - [Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?](https://md.research.elamur.ai/free/en/papers/eacl-2023-shmidman-do-pretrained-contextual-language-models/) — Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al. · 2023 · 5 citations - [MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-shmidman-msbert-new-model-reconstruction-lacunae/) — Avi Shmidman, Ometz Shmidman, Hillel Gershuni, et al. · 2024 · 4 citations - [A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry](https://md.research.elamur.ai/free/en/papers/eacl-2024-toker-dataset-metaphor-detection-early-medieval/) — Michael Toker, Oren Mishali, Ophir Münz-Manor, et al. · 2024 · 3 citations - [A Language Modeling Approach to Diacritic-Free Hebrew TTS](https://md.research.elamur.ai/free/en/papers/langstream-2024-roth-language-modeling-approach-diacritic-free/) — Amit Roth, Arnon Turetzky, Yossi Adi · 2024 · 3 citations - [From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-liebeskind-linguistics-practice-case-study-offensive/) — Chaya Liebeskind, Marina Litvak, Natalia Vanetik · 2024 · 2 citations - [Intertextual Parallel Detection in Biblical Hebrew: A Transformer-Based Benchmark](https://md.research.elamur.ai/free/en/papers/hbo-2025-smiley-intertextual-parallel-detection-biblical-hebrew/) — David M. Smiley · 2025 · 1 citation - [Enhancing TTS Stability in Hebrew using Discrete Semantic Units](https://md.research.elamur.ai/free/en/papers/langstream-2024-zeldes-enhancing-tts-stability-hebrew-using/) — Ella Zeldes, Or Tal, Yossi Adi · 2024 · 1 citation - [Detection of Negative Campaign in Israeli Municipal Elections](https://md.research.elamur.ai/free/en/papers/aclbulk-2022-litvak-detection-negative-campaign-israeli-municipal/) — Marina Litvak, Natalia Vanetik, Sagiv Talker, et al. · 2022 · 1 citation - [Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic](https://md.research.elamur.ai/free/en/papers/hbo-2022-benbaji-word-embeddings-distinguish-denominal-root/) — Ido Benbaji, Omri Doron, Adele Henot-Mortier · 2022 · 1 citation - [Annotation Matters: Resolving Cross-Corpus Performance Drops in Hebrew Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/aclbulk-2026-hefetz-annotation-matters-resolving-cross-corpus/) — Gili Berger Hefetz, Yossef Haim Shrem, Natalia Vanetik, et al. · 2026 - [HalleluBERT: Let Every Token That Has Meaning Bear Its Weight](https://md.research.elamur.ai/free/en/papers/lingbulk-2026-schmitt-hallelubert-let-every-token-that/) — Raphael Schmitt · 2026 - [MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection](https://md.research.elamur.ai/free/en/papers/hbo-2026-smiley-miqrabert-regression-based-sentence-bert/) — David M. Smiley · 2026 - [The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment](https://md.research.elamur.ai/free/en/papers/findings-2023-hagag-truth-whole-truth-nothing-but/) — Ben Hagag, Reut Tsarfaty · 2023 9 more papers of our library cite it; they have no page here yet.