Author

Peng Xu

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Preprint Aug 2026

INTENT-AS-A-TOOL Makes it Easy to Track Agentic Misalignment

As large language models (LLMs) are deployed as autonomous agents, safety failures increasingly involve consequential actions. We study agentic misalignment, where agents take harmful actions under goal conflicts and pressures. Using chain-of-thought (CoT) monitoring, we find that harmful execution is often preceded by...

Yu-Tong Zhang, Jianshuo Dong, Peng Xu et al. · 0 citations

Preprint Aug 2026

Your Agentic LLMs Secretly Encode Indirect Prompt-Injection Exposure in Hidden States

A probe-gated reasoning-based defense is introduced to bridge a knowledge-action gap in agentic LLMs when they are exposed to IPI attacks, and an analysis framework is introduced that identifies natural-language explanations strongly correlated with probe-captured signals.

Jianshuo Dong, Yiming Liu, Maosen Zhang et al. · 1 citation · ⚡1