--- title: "Who cites Multilingual Sequence-to-Sequence Models for…" description: "The papers of the Elamur Research library that cite «Multilingual Sequence-to-Sequence Models for Hebrew NLP», found in their bibliographies." canonical: "https://research.elamur.ai/free/en/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Multilingual Sequence-to-Sequence Models for…](https://md.research.elamur.ai/free/en/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) / cited by # 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.research.elamur.ai/free/en/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) 1. [Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-vanetik-safer-hebrew-communication-dataset-offensive/) *— our card · 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era* 2. [MRL Parsing Without Tears: The Case of Hebrew](https://md.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) *— our card · 2023 · arXiv:2308.16687*