Biomedical Information Extraction for Disease Gene Prioritization. - Jupinder Parmar; William Koehler; Martin Bringmann; Katharina Sophia Volz; Berk Kapicioglu (CoRR, 2020)

Observational Supervision for Medical Image Classification Using Gaze Data. - Khaled Saab 002; Sarah M. Hooper; Nimit Sharad Sohoni; Jupinder Parmar; Brian Pogatchnik; Sen Wu 002; Jared A. Dunnmon; Hongyang R. Zhang; Daniel L. Rubin; Christopher Ré (MICCAI (2), 2021)

The Importance of Background Information for Out of Distribution Generalization. - Jupinder Parmar; Khaled Saab 002; Brian Pogatchnik; Daniel L. Rubin; Christopher Ré (CoRR, 2022)

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)

Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models. - Jupinder Parmar; Sanjeev Satheesh; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

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)

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)