Beyond Teacher Assignment: Domain-Normalized Multi-Teacher On-Policy Distillation
This paper proposes a new approach to multi-teacher on-policy distillation that allows language models to learn multiple skills by balancing feedback from different specialists. A practitioner might care about this paper because it could lead to more versatile and effective language models that can handle a wide range of tasks.