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Aaron Grattafiori

Aaron Grattafiori has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning; often with Aarti Basant, Abhinav Khattar, Akhiad Bercovich.

2 papers in our library · 2024–2025

OpenAlex · h-index 2 · 9 works · 443 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 8,704 times in our library · ⭐ Paper Stars ranking: #415

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

 Affiliations

🏢MetaLondon · United Kingdom2019–2025 · 2 paperscurrent🏢MetaMenlo Park · United States2019–2025 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Large language models · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Llama 3 Herd of Models (2024 · 7,682 citations)
    The paper describes Llama 3, a family of foundation language models from Meta. Out of the box, they can work with multiple languages, write code, reason, and call external tools. The authors improved the models along three directions: more and cleaner data, larger scale, and simpler architecture and training.…
  2. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning (2025 · 27 citations)
    NVIDIA presents Nemotron 3 Nano 30B-A3B, an open language model for agentic use, reasoning and chat that aims for a better balance between accuracy and inference speed.

 Co-authors here

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

 Cited by

Papers of our library cite their works 8,704 times (of the 149,439 papers whose bibliographies we read); 1,612 citing papers with a page here →.

Updated

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