---
title: "Who cites HeQ: a Large and Diverse Hebrew Reading…"
description: "The papers of the Elamur Research library that cite «HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/findings-2023-cohen-heq-large-diverse-hebrew-reading/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [HeQ: a Large and Diverse Hebrew Reading…](https://md.research.elamur.ai/free/en/papers/findings-2023-cohen-heq-large-diverse-hebrew-reading/) / cited by

# 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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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. [QARI: Neural Architecture for Urdu Extractive Machine Reading Comprehension](https://aclanthology.org/2026.loreslm-1.16/) *— 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)*
3. [LCHAIM - Investigating Long Context Reasoning in Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2025-malul-lchaim-investigating-long-context-reasoning/) *— our card · 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
4. [NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew](https://md.research.elamur.ai/free/en/papers/langstream-2025-shmidman-neodictabert-pushing-frontier-bert-models/) *— our card · 2025 · arXiv:2510.20386*
5. [Splintering Nonconcatenative Languages for Better Tokenization](https://aclanthology.org/2025.findings-acl.1151/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
6. [Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities](https://md.research.elamur.ai/free/en/papers/arxivrecent-2024-shmidman-adapting-llms-hebrew-unveiling-dictalm/) *— our card · 2024 · arXiv:2407.07080*
7. [HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2024-argaman-hesum-novel-dataset-abstractive-text/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
8. [Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language](https://md.research.elamur.ai/free/en/papers/langstream-2024-shalumov-mevaker-conclusion-extraction-allocation-resources/) *— our card · 2024 · arXiv:2403.09719*
9. [Automatic Translation of Span-Prediction Datasets](https://aclanthology.org/2023.ijcnlp-main.11/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [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*
11. [Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew](https://md.research.elamur.ai/free/en/papers/langstream-2023-shmidman-introducing-dictalm-large-generative-language/) *— our card · 2023 · arXiv:2309.14568*