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# Amir DN Cohen

4 paper cards in Mova's library · 2023–2026

Amir DN Cohen wrote 4 of the papers Mova reads, in 2023–2026, most of them on [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/); often with [Shaltiel Shmidman](https://md.mova.elamur.ai/free/en/docs/papers/authors/shaltiel-shmidman/), [Avi Shmidman](https://md.mova.elamur.ai/free/en/docs/papers/authors/avi-shmidman/), [Moshe Koppel](https://md.mova.elamur.ai/free/en/docs/papers/authors/moshe-koppel/).

[OpenAlex](https://openalex.org/A5086960141) · [**h-index 7**](https://openalex.org/authors/A5086960141) · [141 citations](https://openalex.org/authors/A5086960141) · [30 works](https://openalex.org/works?filter=author.id:A5086960141) — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Amir+DN+Cohen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Amir+DN+Cohen) · [dblp](https://dblp.org/search?q=Amir+DN+Cohen) · [ACL Anthology](https://aclanthology.org/search/?q=Amir+DN+Cohen) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Amir+DN+Cohen)

Topics: [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1

## Papers

1. **[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/)** *(2026)* Dicta-LM 3.0 is an open-weight family of Hebrew-and-English LLMs at 24B, 12B and 1.7B parameters. Each was made by continued pre-training of an existing base model (Mistral-Small-3.1, Nemotron Nano V2, Qwen3-1.7B) on about 100B Hebrew tokens mixed with 30B English tokens, then post-trained with SFT, DPO and GRPO for…
2. **[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/)** *(2026)* The authors adapt NVIDIA's Nemotron-3 Nano sparse mixture-of-experts model (30B parameters, about 3B active per token) to Hebrew.
3. **[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/)** *(2024)* The paper adapts Mistral-7B to Hebrew by continued pre-training on about 200B tokens of half Hebrew and half English.
4. **[HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-cohen-heq-large-diverse-hebrew-reading/)** *(2023)* HeQ is an extractive question-answering benchmark in the SQuAD style for Modern Hebrew: 30,147 question–answer pairs from Hebrew Wikipedia and from the Geektime tech news site.

## Co-authors (17)

- [Shaltiel Shmidman](https://md.mova.elamur.ai/free/en/docs/papers/authors/shaltiel-shmidman/) ×3
- [Avi Shmidman](https://md.mova.elamur.ai/free/en/docs/papers/authors/avi-shmidman/) ×2
- [Moshe Koppel](https://md.mova.elamur.ai/free/en/docs/papers/authors/moshe-koppel/) ×2
- Dan Revital
- Hilla Merhav
- Kate Zinkovskaia
- Noam Kayzer
- [Noam Ordan](https://md.mova.elamur.ai/free/en/docs/papers/authors/noam-ordan/)
- Omer Baruch
- Or Levi
- Ori Bar Joseph
- [Reut Tsarfaty](https://md.mova.elamur.ai/free/en/docs/papers/authors/reut-tsarfaty/)
- Sarel Weinberger
- Smadar Arvatz
- Tal Geva
- [Yoav Goldberg](https://md.mova.elamur.ai/free/en/docs/papers/authors/yoav-goldberg/)
- Zevi Apini
- [← previous Amanda Stent](https://md.mova.elamur.ai/free/en/docs/papers/authors/amanda-stent/)
- [next → Amir More](https://md.mova.elamur.ai/free/en/docs/papers/authors/amir-more/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)