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Qinghongbing Xie

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#artificial intelligence Preprint Sep 2026

DashAct: A Progressive Diagnostic Benchmark for GUI Agents in Interactive Dashboard Analysis

Interactive dashboards require users to reveal and connect evidence across stateful interactions. Although graphical user interface (GUI) agents could automate this process, existing dashboard benchmarks primarily report final answers or task success. They provide limited insight into whether failures arise from mainta...

Chu-Han Zhang, Qinghongbing Xie, Zi-Yue Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Highlight-Then-Summarize: Learning to Compress Evidence for Long-Context Understanding

Long-context understanding requires large language models (LLMs) to reason over lengthy documents, conversations, and code, yet task-relevant evidence is often sparse and scattered amid substantial irrelevant and redundant content. We propose Highlight-Then-Summarize (H2S), a compress-then-reason paradigm that first id...

Zhao-Yuan Xia, Qinghongbing Xie, Yung Xiang Hue et al. · 0 citations

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