Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation | Report Profile

Zhuolin Yang's personal page says he is a Research Scientist at NVIDIA ADLR whose interests include trustworthy machine learning, multimodal LLMs, and reasoning.

Zihan Liu's public homepage describes him as a senior research scientist at NVIDIA ADLR working on LLM reasoning, post-training, and retrieval-augmented generation.

Wenliang Dai's homepage identifies him as a research scientist at NVIDIA. OpenReview lists prior study at HKUST, University College London, and the University of Nottingham.

Boxin Wang is a senior research scientist at NVIDIA working on practical and scalable large language models, including trustworthiness, multimodal language modeling, and retrieval-augmented generation. He earned a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign.

NVIDIA's public author page identifies Chankyu Lee as a research scientist on the Applied Deep Learning research team, focusing on NeMo LLMs and retrieval-augmented generation. NVIDIA public report pages also list him as a coauthor of Nemotron-Cascade.

Yangyi Chen is a research scientist at NVIDIA. His homepage says he works on LLM post-training and LLM-based coding agents, and it lists him as a Nemotron-Cascade 2 coauthor.

Dongfu Jiang is a Ph.D. student at the University of Waterloo affiliated with the Vector Institute and TIGER Lab. His homepage lists research interests in LLM and VLM post-training, multimodal evaluation, and agentic tool-use systems.

Jiafan He's public homepage identifies him as a UCLA PhD student advised by Quanquan Gu, with research focused on machine learning, reinforcement learning, and optimization.

Public NVIDIA and HKUST sources identify Renjie Pi as a researcher in multimodal learning and large language models.

OpenReview lists Grace Lam as a researcher at NVIDIA after prior work at Google, with study at Stanford and MIT. NVIDIA public pages connect her to Cosmos Policy for robot control and Nemotron-Cascade 2 for LLM post-training.

Alexander Bukharin is an applied research scientist at NVIDIA working on large language models, with public NVIDIA materials highlighting reinforcement learning and model robustness.

NVIDIA identifies Mohammad Shoeybi as a senior research scientist who manages the NLP team within its Applied Deep Learning Research group; the same profile states he received a PhD from Stanford University in 2010.

Public NVIDIA sources identify Bryan Catanzaro as Vice President of Applied Deep Learning Research and maintain a research profile page for him.

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Zhuolin Yang

Zihan Liu

Wenliang Dai

Boxin Wang

Chankyu Lee

Yangyi Chen

Dongfu Jiang

Jiafan He

Renjie Pi

Grace Lam

Alexander Bukharin

Mohammad Shoeybi

Bryan Catanzaro