Dongfu Jiang

Unified Audio Intelligence Without Regressing on Text Intelligence

Zhifeng Kong, Sang-gil Lee, Jaehyeon Kim, et al.

ClawBench: Can AI Agents Complete Everyday Online Tasks?

Yuxuan Zhang, Yubo Wang, Yipeng Zhu, et al.

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

Zhuolin Yang, Zihan Liu, Yang Chen, et al.

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.