Skip to content

Author

Yuan-Zhe Liu

4 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Sep 2026

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

It is found that weaker agents often fail before producing a valid artifact, whereas stronger agents increasingly fail on structural, geometric, and construction-process requirements, and CADWorld exposes a gap between general GUI competence and reliable execution of persistent, verifiable engineering workflows.

Zi-Han Dong, Yuan-Zhe Liu, Zhi-Yuan Ma et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Style Over Substance: Content-Invariant Wrappers Flip LLM Safety-Judge Verdicts

Automatic safety judges -- for example Llama Guard, or GPT-4o given a grading prompt -- produce the numbers behind reported jailbreak success rates, defense evaluations, and safety leaderboards. We ask whether these judges grade what a reply contains or how it sounds. We place a fixed piece of text before or after a mo...

Yong-Xin Zhou, Wen-Bo Ye, Yuan-Zhe Liu 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

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.