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Hao-Rui Wang

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#artificial intelligence Preprint Sep 2026

ExecCritic: Learn to Test, Test to Improve for Coding Agents

This work introduces ExecCritic, combining a test--verify--revise scaffold with a role-specific reinforcement learning recipe for training agents within it, separating test construction from source-code repair.

Leitian Tao, Bao-Lin Peng, Hao-Rui Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

APPSim-Bench: Bridging Real-world Apps and Reproducible Evaluation for Mobile GUI Agents

Mobile GUI agents can execute tasks from natural-language instructions, but their evaluation remains difficult to make both realistic and reproducible. Existing benchmarks typically trade off these goals: simplified apps lack real-world mobile complexity, whereas live commercial apps introduce uncontrolled variation fr...

Jin-Tian Feng, Long Chen, Xiao Yu et al. · 0 citations

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