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Curriculum learning's edge on hard examples is not just an artifact of data exposure: modeling curricula as Wasserstein transport paths reveals that ordering genuinely drives capability shifts, though no universal pacing strategy dominates across tasks.
Amortizing distillation across model size and variant can produce a continuum of optimized LLMs with a single distillation run, revolutionizing model deployment efficiency.
