نسخة أولية وصول مفتوح
Gains and Collapse in On-Policy Distillation:A Reinforcement Learning Perspective
On-policy distillation (OPD) has become an important approach to language model post-training. However, despite its performance gains, OPD can also collapse into excessively long and repetitive generation, and the mechanism underlying these divergent outcomes remains poorly understood. We explain these outcomes through …