Author

Cheng-Yu Yu

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#artificial intelligence Preprint Sep 2026

LLM Alignment--Utility Asymmetry under Semantic-Preserving Transformations

Large Language Model (LLM) alignment is intended to ensure that models remain helpful and safe, but its stability under input distributional shift is not yet fully understood. Prior work shows that aligned models can fail under jailbreak prompts, alternative encodings, and cross-lingual transfer, yet these failures are...

Mo-Han Li, Cheng-Yu Yu, Francesco Sovrano et al. · 0 citations

Preprint Aug 2026

DreamGuard: Efficient Runtime Guardrail for LLM Agents via Risk-Aware World Model

As large language model (LLM) agents increasingly invoke external tools and interact with real-world systems, unsafe actions may cause irreversible consequences on external states, user data, and downstream services. Recent runtime guardrails mitigate such risks by checking proposed actions before execution, but many r...

Wenhao Lin, Cheng-Yu Yu, Xingwei Lin et al. · 2 citations