#artificial intelligence
Jun 2026
DOG-DPO:Dynamic Optimization in Geometry for Safety Alignment
DOG-DPO is proposed, a training-free data selection framework that treats preference pairs as structured geometric signals and recovers most of the safety gains of full-data training while remaining entirely teacher-free, training-free, and substantially faster than representative selection baselines.
Yi Nian, Tiankai Yang, Yudi Zhang et al.
· arXiv.org · 1 citation