Author

Bihuan Chen

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Open access Oct 2026

Poirot: Automatic Root Cause Analysis of Safety Violations in ADS Simulation Testing via Hypothetical Reasoning

With the rapid development of autonomous driving systems (ADSs), it has become critical to ensure their operational safety, leading to the widespread adoption of simulation testing. While existing scenario-based simulation testing approaches have demonstrated effectiveness in detecting safety violations, they often fal...

You Lu, Ding-Ji Wang, Kun Zhang et al. · Proceedings of the ACM on So... · 0 citations

Preprint Aug 2026

SkillSentry: Reliable Skill Execution for LLM Agents via Runtime Assurance

SkillSentry is proposed, a skill-oriented runtime assurance framework built upon a new domain-specific language (DSL) for representing runtime guidance for skill execution that improves the task success rate of LLM agents by 24.1% across skills, on average, while exhibiting lower variability across repeated runs.

You Lu, Xinyu Huang, Bi-Huan Chen et al. · 1 citation

Jul 2026

ProfMalPlus: Agent-Coordinated Detection of Malicious NPM Packages via Static-Dynamic Analysis Synergy

ProfMalPlus, a malicious NPM package detector combining object-sensitive behavior graphs with coordinated LLM reasoning over annotated code slices, is proposed, a malicious NPM package detector combining object-sensitive behavior graphs with coordinated LLM reasoning over annotated code slices.

Yiheng Huang, Zhijia Zhao, Bihuan Chen et al. · arXiv.org · 1 citation

Preprint Aug 2026

DOCSCHISEL: Adaptive Tool Documentation Optimization Framework for LLM Agents

Results show that DocsChisel improves the task success rate of LLM agents by 95.89% over the original tool documentation and by 75.15%, on average, over existing baselines, while incurring limited optimization time and token overhead.

You Lu, Kun Zhang, Bi-Huan Chen et al. · 0 citations

Preprint Aug 2026

FlowScout: From Execution Feedback to Reliable Tool-Using Agent Workflows

Agentic workflows have become an important abstraction for building reliable LLM-based automation systems by organizing large language models (LLMs), tools, and control logic into explicit execution structures. However, constructing high-quality agentic workflows remains largely manual and requires substantial domain e...

Hao Shuo, Lu You, Bi-Huan Chen et al. · 0 citations