Author

Bo-Fan Chen

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Preprint Sep 2026

HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents

Computer use agents (CUAs) have demonstrated strong capabilities in completing digital tasks. However, existing CUAs either rely solely on graphical user interface (GUI) interactions, which are often inefficient and error prone, or augment GUI interactions with application specific APIs or tools, which require substant...

Tong-I Chen, Jun-Bo Niu, Zhengxi Lu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents

Online training enables computer-use agents (CUAs) to improve through interaction with executable environments. However, existing methods primarily rely on sparse outcome rewards, which provide no supervision for intermediate actions. On-policy self-distillation (OPSD) offers token-level learning signals through privil...

Yong Du, Tong-I Chen, Zhengxi Lu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Reflect, Revise, Reuse: Training-Free Skill Evolution for GUI Agents

This work proposes EvoSkill-GUI, a training-free framework in which each skill is a structured multi-file package containing retrieval metadata, executable plans, backup localization, failure-recovery rules, accessibility utilities, and failure cases.

Bo-Fan Chen, Bo-Xuan Zhang, Fei Tang et al. · 2 citations