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Guangyu Shen

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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

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