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Mohammad Dabbah

Mohammad Dabbah has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning, Efficient models & compression; often with Akhiad Bercovich, Ido Galil, Tomer Ronen.

2 papers in our library · 2024–2025

OpenAlex · h-index 1 · 7 works · 4 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 83 times in our library · ⭐ Paper Stars ranking: #8727

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 1 workEfficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Llama-Nemotron: Efficient Reasoning Models (2025 · 76 citations)
    Reasoning-oriented language models write long chains of thought, so inference cost increasingly limits how useful they are.
  2. Puzzle: Distillation-Based NAS for Inference-Optimized LLMs (2024 · 10 citations)
    Serving large language models is costly, and standard transformers stack identical layers that suit training stability rather than cheap inference.

 Co-authors here

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

 Cited by

Papers of our library cite their works 83 times (of the 149,439 papers whose bibliographies we read); 35 citing papers with a page here →.

Updated

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