---
title: "Who cites AlephBERT: Language Model Pre-training and…"
description: "25 papers of the Elamur Research library cite «AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [AlephBERT: Language Model Pre-training and…](https://md.research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/) / cited by

# Who cites «AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level»

25 papers of our library cite it (of the 140,884 whose bibliographies we read) · 13 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/)

1. [**A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing**Amir Zeldes, Nick Howell, Noam Ordan, et al.*2022 · 18 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2022-second-wave-ud-hebrew-treebanking/)
2. [**HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark**Amir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2023-heq-large-diverse-hebrew-reading/)
3. [**Transformer-based Hebrew NLP models for Short Answer Scoring in Biology**Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, et al.*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/schleifer-2023-transformer-based-hebrew-nlp-models/)
4. [**Multilingual Sequence-to-Sequence Models for Hebrew NLP**Matan Eyal, Hila Noga, Roee Aharoni, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2023-multilingual-sequence-sequence-models-hebrew/)
5. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2024-hesum-novel-dataset-abstractive-text/)
6. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)
7. [**The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings**Gili Goldin, Nick Howell, Noam Ordan, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/goldin-2024-knesset-corpus-annotated-corpus-hebrew/)
8. [**HeGeL: A Novel Dataset for Geo-Location from Hebrew Text**Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2023-hegel-novel-dataset-geo-location/)
9. [**TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew**Anita Gelboim, Elior Sulem*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gelboim-2025-tafberta-learning-grammatical-rules-small/)
10. [**Temporal Relation Classification in Hebrew**Guy Yanko, Shahaf Pariente, Kfir Bar*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/yanko-2023-temporal-relation-classification-hebrew/)
11. [**LCHAIM - Investigating Long Context Reasoning in Hebrew**Ehud Malul, Oriel Perets, Ziv Mor, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/malul-2025-lchaim-investigating-long-context-reasoning/)
12. [**Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text**Refael Shaked Greenfeld, Reut Tsarfaty*2026*](https://md.research.elamur.ai/free/en/papers/greenfeld-2026-beyond-word-boundaries-hebrew-coreference/)
13. [**Systematic Textual Availability of Manuscripts**Hadar Miller, Samuel Londner, Tsvi Kuflik, et al.*2025*](https://md.research.elamur.ai/free/en/papers/miller-2025-systematic-textual-availability-manuscripts/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/) — AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level