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# Who cites «HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew»

6 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-2024-argaman-hesum-novel-dataset-abstractive-text/)

1. [Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-dahan-leveraging-digitized-newspapers-collect-summarization/) *— our card · 2026*
2. [The State and Fate of Summarization Datasets: A Survey](https://aclanthology.org/2025.naacl-long.372/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
3. [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*
4. gupta-2025-are-large-language-models-education
5. mondshine-2025-beyond-n-grams-rethinking-evaluation
6. zhu-2025-mfinmeeting-multilingual-multi-sector-multi
- [← previous Who cites «Multilingual Sequence-to-Sequence Models for Hebrew NLP»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/)
- [next → Who cites «MRL Parsing Without Tears: The Case of Hebrew»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2024-shmidman-mrl-parsing-without-tears-case/)
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