Mova0.5 pre-release⌕
☰
home / 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

  1. Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text — 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 — our card · 2025
  3. NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew — our card · 2025 · arXiv:2510.20386
  4. Splintering Nonconcatenative Languages for Better Tokenization — 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 — our card · 2024 · arXiv:2407.07080
  6. HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  7. Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language — our card · 2024 · arXiv:2403.09719
  8. DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew — our card · 2023 · arXiv:2308.16687
  9. Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew — our card · 2023 · arXiv:2309.14568
  10. kazi-2026-qari-neural-architecture-urdu-extractive
  11. masad-2023-automatic-translation-span-prediction-datasets

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2023-cohen-heq-large-diverse-hebrew-reading/