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Yuan-Zhe Liu

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#artificial intelligence Preprint Sep 2026

CADWorld: Computer-Use Benchmark for Long-Horizon Computer-Aided Design

Computer-use agents are increasingly evaluated in realistic desktop environments, but existing benchmarks provide limited coverage of professional engineering workflows whose outputs are persistent, structured artifacts. Mechanical computer-aided design (CAD) is a particularly demanding setting: an agent must manipulat...

Zi-Han Dong, Yuan-Zhe Liu, Zhi-Yuan Ma et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Single Canonical Prompts Underestimate LLM Safety's Surface-Form Sensitivity

A benchmark score is a measurement instrument, yet most benchmarks read each item at a single canonical surface form. We ask whether that reading is faithful: when an item's intent is held fixed and only its meaning-preserving surface form varies, does the canonical-form score estimate model behavior well, and how much...

Yongxin Zhou, Jun-Wei Yao, Yuanzhe Liu et al. · 1 citation
Jul 2026

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization

PerfAgent is presented, a profiler-guided, verifier-in-the-loop workflow that gives an off-the-shelf coding agent the feedback needed to find real hotspots, improve beyond the first passing patch, and use profiler evidence rather than timing alone to decide what to optimize next.

Ryan Deng, Yuan-Zhe Liu, Bastian Lipka et al. · 2 citations

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