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# Who cites «Multilingual Sequence-to-Sequence Models for Hebrew NLP»

4 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/)

1. [Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-vanetik-safer-hebrew-communication-dataset-offensive/) *— our card · 2025*
2. [MRL Parsing Without Tears: The Case of Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
3. [The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2024-goldin-knesset-corpus-annotated-corpus-hebrew/) *— our card · 2024 · arXiv:2405.18115*
4. [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) *— our card · 2023 · arXiv:2308.16687*
- [← previous Who cites «HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2023-cohen-heq-large-diverse-hebrew-reading/)
- [next → Who cites «HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2024-argaman-hesum-novel-dataset-abstractive-text/)
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