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Author

Shi-Pei Zeng

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#artificial intelligence Preprint Oct 2026

GUI-HARVEST: Self-Improving GUI Agents through Evidence-Driven Harness Evolution

The executable harness surrounding a GUI model determines how observations are assembled, actions are executed, and verification, recovery, and termination are controlled. Compared with harness optimization for non-GUI agents, automatically optimizing this harness poses three coupled challenges: reconciling model inten...

Ge-Yi Yang, Zi-Kun Qu, Xiang Li et al. · 0 citations
#artificial intelligence Preprint Sep 2026

From Preference to Reciprocity: Decentralized Matching with Empirically Grounded LLM-agent Based Modeling

Bipartite matching is a fundamental problem in game theory and market design. Classical approaches such as Gale--Shapley assume complete preferences and centralized computation, whereas many real-world matching processes are decentralized, asynchronous, and shaped by sequential interaction under limited information. We...

Wang-Xuan Fan, Xiao-Yu Nie, Zhou-Tian Shi et al. · 0 citations

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