Zhendong Wang

Language-driven video generation in Qwen-RobotWorld achieves unprecedented accuracy in predicting robotic actions, outperforming existing models across key benchmarks.

Rethinking few-step distillation reveals that the training pipeline's organization is as crucial as the distillation objectives themselves.

Existing text-to-image benchmarks miss the mark on real-world artistic creation, but Qwen-Image-Bench finally provides a creator-centric evaluation that reliably distinguishes state-of-the-art models.

Unlock accurate friction estimation for any material pairing with just a handful of proxy material measurements, slashing experimental costs.