[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/findings-2023-cohen-heq-large-diverse-hebrew-reading/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark»

# Who cites «HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark»

11 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-cohen-heq-large-diverse-hebrew-reading/)

1. [Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text](https://md.mova.elamur.ai/free/en/docs/papers/coref-2026-greenfeld-beyond-word-boundaries-hebrew-coreference/) *— our card · 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [LCHAIM - Investigating Long Context Reasoning in Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2025-malul-lchaim-investigating-long-context-reasoning/) *— our card · 2025*
3. [NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-shmidman-neodictabert-pushing-frontier-bert-models/) *— our card · 2025 · arXiv:2510.20386*
4. [Splintering Nonconcatenative Languages for Better Tokenization](https://aclanthology.org/2025.findings-acl.1151/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
5. [Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2024-shmidman-adapting-llms-hebrew-unveiling-dictalm/) *— our card · 2024 · arXiv:2407.07080*
6. [HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-argaman-hesum-novel-dataset-abstractive-text/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
7. [Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-shalumov-mevaker-conclusion-extraction-allocation-resources/) *— our card · 2024 · arXiv:2403.09719*
8. [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*
9. [Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-shmidman-introducing-dictalm-large-generative-language/) *— our card · 2023 · arXiv:2309.14568*
10. kazi-2026-qari-neural-architecture-urdu-extractive
11. masad-2023-automatic-translation-span-prediction-datasets
- [← previous Who cites «HeGeL: A Novel Dataset for Geo-Location from Hebrew Text»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2023-argaman-hegel-novel-dataset-geo-location/)
- [next → 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/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)