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Andrew Tao — most-cited papers & profile · Large Language Models
← authors
·
overview
Andrew Tao
20
papers ·
850
citations ·
16
h-index
Nvidia (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
2025
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
2025
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2025
VILA: On Pre-training for Visual Language Models
2023
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
2024
OMCAT: Omni Context Aware Transformer
2024
Top co-authors
Bryan Catanzaro
· 5
Jan Kautz
· 5
Pavlo Molchanov
· 4
Hongxu Yin
· 3
Mohammad Shoeybi
· 3
Oluwatobi Olabiyi
· 3
Aarti Basant
· 2
Abhinav Khattar
· 2
Adi Renduchintala
· 2
Akhiad Bercovich
· 2
Aleksander Ficek
· 2
Alex Kondratenko
· 2
Topics
Model Architecture
Efficiency
Vision-Language
Training Techniques
Fine-Tuning
Agentic
Reinforcement Learning
In-Context Learning
Code
Evaluation