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#artificial intelligence Preprint Oct 2026

DTDD: Divergence-Triggered Dynamic Distillation for Reliable On-Policy Supervision

On-policy distillation (OPD) provides dense token-level supervision on student rollouts, but this supervision can become unreliable when the student and teacher diverge, either because of a large initial policy gap or compounding errors in long-horizon reasoning and tool use. We introduce Divergence-Triggered Dynamic D...

Qi-Jia He, Ze-Qun Li, Spencer Luo et al. · 0 citations
#artificial intelligence Preprint Sep 2026

When Seeing Overrides Knowing: Visual Dominance and Deferral-Based Method for Personalized Safety in VLMs

Vision-language models (VLMs) are increasingly deployed in high-stakes settings, where a response that is reasonable in general may still be unsafe for a particular user whose medical, emotional, or situational context is unknown to the model. We study this problem of personalized safety in multimodal systems and intro...

Edward Sun, Yu-Chen Wu, Zixian Ma et al. · 0 citations

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