Real-time GUI feedback improves training for computer-use agents

ComputerSD uses executed interface transitions to provide token-level guidance while checking that this guidance agrees with step correctness.

Chinese Tech
Yong Du · Tongbo Chen · Zhengxi Lu · Yizhou Liu · Bofan Chen · Tao Jiang · +2 more

Zhejiang University · Ant Group

Research Digest··2 min read
Du et al.

The authors trained agents in executable graphical user interface environments, where actions produce observable changes on screen.

Why this paper

From Ant Group and Zhejiang University

In one line

ComputerSD uses real-time GUI feedback to improve computer-use agent training via online self-distillation.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ·No benchmark numbers found

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

§
newspaper

Research Digest

Articles published under the Zotpaper byline are synthesized from multiple source publications by our AI editor and reviewed by our editorial process. Each story combines reporting from credible outlets to give readers a balanced, comprehensive view.