Building upon powerful Large Visual Language Models, recent GUI agents have revolutionized autonomous GUI interaction.
Given the high information density and structural complexity of GUI layouts, a critical challenge lies in accurately identifying where to focus, i.e., precise GUI grounding.
To ensure grounding accura...
Zhenhua Yang, Xia-Chong Feng, Weihong Zhong et al.· Proceedings of the Thirty-Fi...· 0 citations
Supervised fine-tuning (SFT) remains a widely used approach for post-training large language models, because fixed demonstrations can directly introduce desired reasoning strategies and behavioral patterns. Yet forcing a model to imitate externally provided trajectories may also interfere with behaviors already support...
Yuxuan Gu, Ke-Quan Niu, Xiao-Cheng Feng et al.· 0 citations
This work proposes a training-free, interpretable framework that selects thinking words via attention heads to guide LRMs toward more effective reasoning, and consistently outperforms the strong baseline DEER.
De-Zhi Zhao, Xin Liu, Xiao-Cheng Feng et al.· Proceedings of the Thirty-Fi...· 0 citations
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