HeRo: RoBERTa and Longformer Hebrew Language Models
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Abstract (arXiv)
In this paper, we fill in an existing gap in resources available to the Hebrew NLP community by providing it with the largest so far pre-train dataset HeDC4, a state-of-the-art pre-trained language model HeRo for standard length inputs and an efficient transformer LongHeRo for long input sequences. The HeRo model was evaluated on the sentiment analysis, the named entity recognition, and the question answering tasks while the LongHeRo model was evaluated on the document classification task with a dataset composed of long documents. Both HeRo and LongHeRo presented state-of-the-art performance. The dataset and model checkpoints used in this work are publicly available.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 19 of its 27 references that are in the map. First posted on arXiv 18 Apr 2023.
Builds on
19 of 27 references.
References · 19
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7 more
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Built on by
Citing papers per year: 2023: 3; 2024: 2; 2025: 5; 2026: 2.
12 papers.
- 2023DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrewcited by 17
- 2025Splintering Nonconcatenative Languages for Better Tokenizationcited by 6
- 2023Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrewcited by 5
- 2024Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Languagecited by 2
- 2023Introducing DictaLM -- A Large Generative Language Model for Modern Hebrewcited by 1
- 2025HebID: Detecting Social Identities in Hebrew-language Political Textcited by 1
- 2025The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speechcited by 1
- 2025HalleluBERT: Let Every Token That Has Meaning Bear Its Weightcited by 1
- 2024Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Languagecited by 0
- 2025Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Diseasecited by 0
- 2026Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scorescited by 0
- 2026The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLPcited by 0
- 2026The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP2 Jun 2026
- 2026Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores17 Mar 2026
- 2025HalleluBERT: Let Every Token That Has Meaning Bear Its Weight24 Oct 2025
- 2025Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease3 Sep 2025
- 2025The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speech21 Aug 2025
- 2025HebID: Detecting Social Identities in Hebrew-language Political Text21 Aug 2025
- 2025Splintering Nonconcatenative Languages for Better Tokenization18 Mar 2025
- 2024Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language2 May 2024
- 2024Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language12 Mar 2024
- 2023Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew1 Nov 2023
- 2023Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew25 Sep 2023
- 2023DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew31 Aug 2023