TorchAudio: Building Blocks for Audio and Speech Processing. - Yao-Yuan Yang; Moto Hira; Zhaoheng Ni; Anjali Chourdia; Artyom Astafurov; Caroline Chen; Ching-Feng Yeh; Christian Puhrsch; David Pollack; Dmitriy Genzel; Donny Greenberg; Edward Z. Yang; et al. (CoRR, 2021)

Torchaudio: Building Blocks for Audio and Speech Processing. - Yao-Yuan Yang; Moto Hira; Zhaoheng Ni; Artyom Astafurov; Caroline Chen; Christian Puhrsch; David Pollack; Dmitriy Genzel; Donny Greenberg; Edward Z. Yang; Jason Lian; Jeff Hwang; et al. (ICASSP, 2022)

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset. - Shubham Toshniwal; Ivan Moshkov; Sean Narenthiran; Daria Gitman; Fei Jia; Igor Gitman (NeurIPS, 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)

Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models. - Somshubra Majumdar; Vahid Noroozi; Sean Narenthiran; Aleksander Ficek; Jagadeesh Balam; Boris Ginsburg (CoRR, 2024)

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding. - Wasi Uddin Ahmad; Sean Narenthiran; Somshubra Majumdar; Aleksander Ficek; Siddhartha Jain 001; Jocelyn Huang; Vahid Noroozi; Boris Ginsburg (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)

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique. - Wasi Uddin Ahmad; Somshubra Majumdar; Aleksander Ficek; Sean Narenthiran; Mehrzad Samadi; Jocelyn Huang; Siddhartha Jain 001; Vahid Noroozi; Boris Ginsburg (CoRR, 2025)