Author

Yiyong Liu

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#machine learning Preprint Sep 2026

No Free Efficiency: Revisiting the Trade-off Between Training Efficiency and Model Vulnerability

Training efficiency has become the central driver of recent progress in foundation models. To overcome the massive computational and data requirements of large-scale training, researchers increasingly adopt strategies such as selective data sampling, efficient pre-training, and simplified reinforcement learning pipelin...

Yi-Yong Liu, Jun Sakuma, Michael Backes et al. · 0 citations

Preprint Aug 2026

Capability-Routed Guard: Defending Large Reasoning Models Against Reasoning-Centric Jailbreaks

Capability-Routed Guard is introduced, a model-agnostic inference-time guardrail for closed-source LRMs, where defenders cannot inspect hidden reasoning traces or modify model weights, and its components contribute complementary benefits, highlighting the importance of coordinated defense mechanisms for securing large...

Yi-Yong Liu, Yixin Wu, J. Sakuma · 0 citations