Graphical User Interface (GUI) agents have emerged as a promising paradigm for automating complex digital workflows across diverse applications. However, training highly capable and generalizable agents fundamentally relies on massive, high-fidelity visual-action trajectories, which are notoriously difficult to acquire...
Yong-Xin Ning, Run-Liang Niu, Qianli Xing et al.· 0 citations
This work introduces Edu-Eval, the first large-scale benchmark focused on educational scenario-centric evaluation, and developed the Teacher-Student-Resource framework, which computationally operationalizes abstract pedagogical concepts into nine concrete evaluation tasks.
Zhiyi Duan, Jiangshan Guan, Qianli Xing· Proceedings of the 32nd ACM...· 0 citations
Hierarchical Robotic Control (HiRoC) is proposed, a hierarchical post-training framework that decouples high-level task planning from low-level action execution and aligns the executor with planner-generated subgoals before reinforcement learning, mitigating the distribution misalignment between planning and execution.
He Kong, Ze Chen, Qi Wang et al.· 0 citations
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