🧑‍🔬 Amir David Nissan Cohen

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Introducing DictaLM — A Large Generative Language Model for Modern Hebrew (2023 · 1 citation)
   The authors release DictaLM, a 7B-parameter generative model for Modern Hebrew, trained on about 7.5 billion tokens.
2. The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval (2026)
   Contrastive fine-tuning of dense retrievers needs binary positive/negative pairs, but relevance is a matter of degree.

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Avi Shmidman
• Moshe Koppel
• Ori Shapira
• Shaltiel Shmidman

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 2 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/amir-david-nissan-cohen/