DAPD: Dual-Anchored Policy Distillation
The episode discusses 'DAPD: Dual-Anchored Policy Distillation,' a paper addressing 'privilege illusion' in self-distillation. The hosts explain that models can cheat during training by relying on hidden answers, and the paper proposes a dual-anchored framework to make models more honest and reliable.