Author

Xiangzhe Xu

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Open access Oct 2026

CAST: A Compiler-Based Framework for Systematically Testing LLM Compositional Safety

Large language models (LLMs) are increasingly used in software pipelines, raising concerns about harmful behaviors in security-critical domains. Existing safety evaluations predominantly probe models with single prompts or short interactions, and therefore do not capture how safety behaves under multi-step workflows wh...

Lu Yan, Zhuo Zhang, Xiang-Zhe Xu et al. · 0 citations

#software testing Preprint Aug 2026

Natural-Language Workflows Are Not Software Yet: Artifact-Driven Compilation for Reliable Agent Execution

Artic is proposed, an artifact-driven workflow compiler that transforms a natural-language workflow into an artifact-driven workflow in which each step declares the artifacts it reads and writes, constraints gate produced artifacts, and explicit control transfers route execution.

Xiang-Zhe Xu, Hanxi Guo, Guangyu Shen et al. · 0 citations

Preprint Aug 2026

The Devil Is in the Interface: Evaluating How Tool Architecture Shapes Coding Agent Behavior

This work compares six tool architectures that hold the underlying information and actions similar while varying how they are organized and exposed to the model, across three actors and a total of 11,700 trajectories to show that, even when tools provide similar capabilities, tool architecture changes agent behavior.

Xiangzhe Xu, H. Saghir, Qian-Hui Wu et al. · 1 citation