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March 19, 2026cs.CLcs.AIcs.LGAdvanced
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
Zhuolin Yang, Zihan Liu, Yang Chen, Wenliang Dai, Boxin Wang, Sheng-Chieh Lin, Chankyu Lee, Yangyi Chen, Dongfu Jiang, Jiafan He, Renjie Pi, Grace Lam, Nayeon Lee, Alexander Bukharin, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
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Nemotron-Cascade 2 is a compact 30-billion parameter AI model that achieves exceptional reasoning and problem-solving abilities comparable to much larger models, winning gold-medal-level performance on prestigious math and coding competitions. The researchers improved upon their previous model by expanding a training technique called Cascade RL across more domains and using a multi-domain distillation method that learns from specialized teacher models, allowing the smaller model to match the capabilities of much larger systems. The model represents a major breakthrough in creating efficient, intelligent AI systems with significantly fewer parameters than competitors.
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Large Language ModelsModel TrainingReinforcement LearningKnowledge DistillationReasoningCode GenerationModel CompressionOpen Source