David D. Baek

2 accepted papers

2026

Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth

Jiawei Zhang, Andrew Estornell, David D. Baek, Bo Li, Xiaojun Xu

ICLR 2026poster

Large Language Models (LLMs) exhibit strong but shallow alignment: they directly refuse harmful queries when a refusal is expected at the very start of an assistant turn, yet this protection collapses once a harmful continuation is underway (either through the adversarial attacks or via harmful assi…

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2025

Scaling Laws For Scalable Oversight

Joshua Engels, David D. Baek, Subhash Kantamneni, Max Tegmark

NeurIPS 2025spotlight

Scalable oversight, the process by which weaker AI systems supervise stronger ones, has been proposed as a key strategy to control future superintelligent systems. However, it is still unclear how scalable oversight itself scales. To address this gap, we propose a framework that quantifies the proba…

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