Alex Kondratenko

Alex Kondratenko has 2 papers in our library, in 2025, most of them on Reasoning, Language models & pretraining; often with Abhinav Khattar, Akhiad Bercovich, Aleksander Ficek.

2 papers in our library · 2025

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Fields, topics and concepts

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

The most cited first (OpenAlex and our library).

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model (2025 · 39 citations)
Reasoning models spend most of their compute producing long chains of thought. In standard Transformers, the attention KV cache makes such long generations slow and memory-hungry. NVIDIA addresses this with Nemotron-Nano-9B-v2, which uses the Nemotron-H hybrid design: most self-attention layers are replaced by…
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.

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

Papers of our library cite their works 66 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated 30 October 2026