Synthetic GUI trajectories train agents without running target software

AutoGUIWorld uses planners and image generators to simulate interface transitions, producing training data that improved an agent on real desktop and scientific tasks.

Chinese Tech
Cheng Yang · Yifan Wu · Yutao Huang · Zhaohua Zhang · Beiduo Chen · Muxi Chen · +15 more

Hunyuan AI Data Team

Research Digest··2 min read
The authors present a framework for generating multi-step GUI interaction data without installing or executing the software being depicted.

AutoGUIWorld samples initial interface scenes from structured descriptions of operating-system context, visual style and application state.

Why this paper

From Hunyuan AI Data Team

In one line

Synthesizing GUI interaction trajectories with image generators improves GUI agent performance on real desktop and scientific tasks.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks (2 benchmarks)

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