Data, Data Everywhere: A Guide for Pretraining Dataset Construction. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Bo Liu; Aastha Jhunjhunwala; Zhilin Wang; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (EMNLP, 2024)

Nemotron-4 15B Technical Report. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Mostofa Patwary; Sandeep Subramanian; Dan Su 003; Chen Zhu 001; Deepak Narayanan; Aastha Jhunjhunwala; Ayush Dattagupta; Vibhu Jawa; Jiwei Liu; et al. (CoRR, 2024)

Nemotron-4 340B Technical Report. - Bo Adler; Niket Agarwal; Ashwath Aithal; Dong H. Anh; Pallab Bhattacharya; Annika Brundyn; Jared Casper; Bryan Catanzaro; Sharon Clay; Jonathan M. Cohen; Sirshak Das; Ayush Dattagupta; et al. (CoRR, 2024)

Data, Data Everywhere: A Guide for Pretraining Dataset Construction. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Bo Li 026; Aastha Jhunjhunwala; Zhilin Wang; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset. - Dan Su 003; Kezhi Kong; Ying Lin; Joseph Jennings; Brandon Norick; Markus Kliegl; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (ACL (1), 2025)

Enhanced Soups for Graph Neural Networks. - Joseph Zuber; Aishwarya Sarkar; Joseph Jennings; Ali Jannesari (IPDPS (Workshops), 2025)

Éclair - Extracting Content and Layout with Integrated Reading Order for Documents. - Ilia Karmanov; Amala Sanjay Deshmukh; Lukas Voegtle; Philipp Fischer; Kateryna Chumachenko; Timo Roman; Jarno Seppänen; Jupinder Parmar; Joseph Jennings; Andrew Tao; Karan Sapra (CoRR, 2025)

Training Video Foundation Models with NVIDIA NeMo. - Zeeshan Patel; Ethan He; Parth Mannan; Xiaowei Ren; Ryan Wolf; Niket Agarwal; Jacob Samuel Huffman; Zhuoyao Wang; Carl Wang; Jack Chang; Yan Bai; Tommy Huang; et al. (CoRR, 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)