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# Who cites «Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities»

15 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/arxivrecent-2024-shmidman-adapting-llms-hebrew-unveiling-dictalm/)

1. [BEReshiT: an Ancient Hebrew Model based on DictaBERT](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-stoupak-bereshit-ancient-hebrew-model-based/) *— our card · 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026*
2. [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)*
3. [Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-shmidman-dicta-lm-3-0-advancing/) *— our card · 2026 · arXiv:2602.02104*
4. [HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-kayzer-hebatron-hebrew-specialized-open-weight/) *— our card · 2026 · arXiv:2605.11255*
5. [MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2026-smiley-miqrabert-regression-based-sentence-bert/) *— our card · 2026 · arXiv:2606.19638*
6. [Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-atya-trustworthy-nlp-low-resource-languages/) *— our card · 2026*
7. [When Similar Means Different: Evaluating LLMs on Arabic--Hebrew Cognates](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-liang-similar-means-different-evaluating-llms/) *— our card · 2026 · arXiv:2606.13218*
8. [Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-ben-atya-agent-based-uncertainty-awareness-improves/) *— our card · 2025*
9. [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*
10. [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*
11. [Restoring Missing Spaces in Scraped Hebrew Social Media](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-shmidman-restoring-missing-spaces-scraped-hebrew/) *— our card · 2025*
12. [Systematic Textual Availability of Manuscripts](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-miller-systematic-textual-availability-manuscripts/) *— our card · 2025*
13. [TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/babylm-2025-gelboim-tafberta-learning-grammatical-rules-small/) *— our card · 2025 · Proceedings of the First BabyLM Workshop*
14. angert-2025-enemy-within-study-political-delegitimization
15. davidov-2026-effective-qa-driven-annotation-predicate
- [← previous Who cites «The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/arxivrecent-2024-goldin-knesset-corpus-annotated-corpus-hebrew/)
- [next → Who cites «Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/asher-2016-discourse-structure-dialogue-acts-multiparty/)
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