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Bryan Catanzaro — most-cited papers & profile · Large Language Models
← authors
·
overview
Bryan Catanzaro
65
papers ·
1420
citations ·
46
h-index
Nvidia (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Compact Language Models via Pruning and Knowledge Distillation
2024 · 7 citations
On Data Engineering for Scaling LLM Terminal Capabilities
2026
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
2025
NEMOTRON-CROSSTHINK: Scaling Self-Learning beyond Math Reasoning
2025
Llama-Nemotron: Efficient Reasoning Models
2025
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy
2025
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
2025
Pretraining Large Language Models with NVFP4
2025
RLP: Reinforcement as a Pretraining Objective
2025
Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data
2025
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
2025
Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs
2025
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2025
ChipNeMo: Domain-Adapted LLMs for Chip Design
2023
ChatQA: Building GPT-4 Level Conversational QA Models
2024
Top co-authors
Mohammad Shoeybi
· 19
Mostofa Patwary
· 12
Jan Kautz
· 9
Wei Ping
· 8
Pavlo Molchanov
· 7
Shrimai Prabhumoye
· 7
Oluwatobi Olabiyi
· 6
Sharath Turuvekere Sreenivas
· 6
Syeda Nahida Akter
· 6
Zihan Liu
· 6
Ameya Sunil Mahabaleshwarkar
· 5
Andrew Tao
· 5
Topics
Training Techniques
Efficiency
Model Architecture
Fine-Tuning
Reinforcement Learning
Evaluation
Vision-Language
Code
RAG
pruning