Yongqiang Wang

Multimodal models can now handle audio natively with improved efficiency, achieving state-of-the-art results in complex tasks like document understanding and agentic computer use.

Decentralizing optimization can paradoxically *accelerate* machine learning convergence, beating centralized methods even when per-iteration time is held constant.