---
title: "Who cites HeRo: RoBERTa and Longformer Hebrew Language…"
description: "The papers of the Elamur Research library that cite «HeRo: RoBERTa and Longformer Hebrew Language Models», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/langstream-2023-shalumov-hero-roberta-longformer-hebrew-language/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [HeRo: RoBERTa and Longformer Hebrew Language…](https://md.research.elamur.ai/free/en/papers/langstream-2023-shalumov-hero-roberta-longformer-hebrew-language/) / cited by

# Who cites «HeRo: RoBERTa and Longformer Hebrew Language Models»

14 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/langstream-2023-shalumov-hero-roberta-longformer-hebrew-language/)

1. [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/) *— our card · 2026 · Proceedings of Computational Affective Science (CAS) @ LREC 2026*
2. [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/) *— our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP](https://arxiv.org/abs/2606.03250) *— 2026 · arXiv:2606.03250 · BMC Med Inform Decis Mak 26, 296 (2026)*
4. [Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease](https://md.research.elamur.ai/free/en/papers/langstream-2025-badash-hierarchical-section-matching-prediction-hsmp/) *— our card · 2025 · arXiv:2509.04519*
5. [LCHAIM - Investigating Long Context Reasoning in Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2025-malul-lchaim-investigating-long-context-reasoning/) *— our card · 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
6. [Restoring Missing Spaces in Scraped Hebrew Social Media](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-shmidman-restoring-missing-spaces-scraped-hebrew/) *— our card · 2025 · Proceedings of the Tenth Workshop on Noisy and User-generated Text*
7. [Splintering Nonconcatenative Languages for Better Tokenization](https://aclanthology.org/2025.findings-acl.1151/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
8. [TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew](https://md.research.elamur.ai/free/en/papers/babylm-2025-gelboim-tafberta-learning-grammatical-rules-small/) *— our card · 2025 · Proceedings of the First BabyLM Workshop*
9. [The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speech](https://aclanthology.org/2025.emnlp-main.841/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
10. [Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language](https://aclanthology.org/2024.clinicalnlp-1.26/) *— 2024 · Proceedings of the 6th Clinical Natural Language Processing Workshop*
11. [Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language](https://md.research.elamur.ai/free/en/papers/langstream-2024-shalumov-mevaker-conclusion-extraction-allocation-resources/) *— our card · 2024 · arXiv:2403.09719*
12. [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/) *— our card · 2023 · arXiv:2308.16687*
13. [Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew](https://md.research.elamur.ai/free/en/papers/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/) *— our card · 2023 · arXiv:2311.00658*
14. [Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew](https://md.research.elamur.ai/free/en/papers/langstream-2023-shmidman-introducing-dictalm-large-generative-language/) *— our card · 2023 · arXiv:2309.14568*