mlsanityData to 14 Oct 2026

HeRo: RoBERTa and Longformer Hebrew Language Models

arXiv 2304.11077 ↗First posted 18 Apr 2023cs.CL cs.AIcited by 12

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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
  1. 2020A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languagescited by 131
  2. 2021AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application Withcited by 28
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 3; 2024: 2; 2025: 5; 2026: 2.

12 papers.