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AdaptRubric is proposed, a Coarse-to-Fine Rubrics Framework that constructs task-adaptive judging criteria through a category-level coarse stage and an instance-level fine stage, and consistently outperforms prior reward agents.
gui-PRA is introduced, a Process Reward Agent that transforms GUI process evaluation from passive scoring into active investigation, and demonstrates strong competitiveness against fully trained critic models.
See, a two-stage data synthesis framework consisting of an efficient exploration stage that builds an explicit UI transition graph over screens and elements, and a graph-based synthesis stage that composes diverse multi-step trajectories via planning and controlled sampling, yields reproducible and explainable data gen...
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