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NVIDIA: Aaron Blakeman

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

2 papers in our library · 2025

OpenAlex · h-index 1 · 6 works · 1 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 65 times in our library · ⭐ Paper Stars ranking: #7433

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

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models (2025 · 38 citations)
    Self-attention costs grow with sequence length, both in compute per generated token and in KV-cache memory.
  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

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

 Cited by

Papers of our library cite their works 65 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

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