Xu Zhang

Frontier generalist computer-use agents, previously closed-source, are now open for systematic study and community development, with the first release achieving significant performance gains.

Training GUI agents in mocked environments yields substantial real-world performance gains, bridging the gap between simulation and physical device interaction.

Deterministic dependency graphs severely misalign with stochastic residual structures in decoupled diffusion forecasters, but dynamically sparsifying edges via residual uncertainty estimation eliminates redundant conditioning and repairs calibration.

Achieving a 2.37% boost in Union accuracy over the best baseline, Robust CurveMoE reveals a new paradigm for balancing adversarial defenses across multiple norm constraints.

Qwen-UI-Agent outperforms leading models in mobile and cross-platform tasks, achieving up to 97.5% accuracy on key benchmarks.