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

The proposed dynamic bipartite matching framework supports the advantages of decentralized matching with LLM-based behavioral modeling and online learning under incomplete information for economic simulation and computational social science research.

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