D$^3$-MOPD: Dynamic Domain ScheDuling for Efficient Multi-Teacher Distillation

A technical machine-learning paper on multi-teacher distillation with no direct AI-risk implications.

Auto-scored: Routine ML methods paper with no risk or mitigation relevance under the rubric.