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Shiyi Hou

2 accepted papers

2026

Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models

ICML 2026poster

As frontier AI systems become increasingly capable, concerns about deceptive behaviors have intensified. Unlike hallucinations, which stem from capability limitations, deception involves strategically misleading responses despite correct internal representations. While prior work has primarily studi…

Cited by 0SourceScholar
2026

Textual Bayes: Quantifying Uncertainty in LLM-Based Systems

ICLR 2026poster

Although large language models (LLMs) are becoming increasingly capable of solving challenging real-world tasks, accurately quantifying their uncertainty remains a critical open problem—one that limits their applicability in high-stakes domains. This challenge is further compounded by the closed-sou…

Cited by 0SourcecodeScholar