Author

Tao Jiang

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Preprint Sep 2026

Learning from Reliable Negatives: Confidence-Anchored Test-Time Adaptation for GUI Grounding

Graphical User Interface (GUI) grounding is essential for autonomous agents to map natural language instructions to precise screen coordinates. However, existing supervised fine-tuning and reinforcement learning methods are constrained by the high cost of annotation, creating a scalability bottleneck. In this paper, we...

Yi-Zhou Liu, Fei Tang, Yuchen Yan et al. · 0 citations

#machine learning Preprint Sep 2026

Dense Process Supervision for Search Agents via Fact Utility Estimation

A dense process supervision method based on fact utility estimation, which models the reasoning process as the accumulation of discrete evidence facts, and converts the estimated fact utilities into dense step-level rewards to guide RL training.

Rongzhi Zhu, Xiang-Yu Liu, Yi Liu et al. · 1 citation