Author

Wen-Kai Wang

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Preprint Aug 2026

Task-Adaptive Rubrics for GUI Reward Modeling

Recent studies on GUI agents have increasingly focused on outcome reward modeling, which assigns outcome rewards by judging whether an executed trajectory satisfies the success criteria implied by the user instruction. Existing GUI reward verifiers, however, often under-specify how these criteria should be constructed...

Tao Xiong, Xavier Hu, Wen-Kai Wang et al. · 1 citation

Preprint Aug 2026

UI-Mate: Advancing Open-Weight Foundation GUI Agents with In-Context Demonstrations

Experiments show that UI-Mate-27B sets a new open-weight state of the art on general computer-use benchmarks, substantially improving long-horizon reliability, and makes three contributions to an environment-grounded training stack with in-context demonstration learning.

Zihan Ding, Long-Xu Dou, Qixiao Gao et al. · 1 citation