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A unified tool for measuring data diversity reveals that existing methods are fragmented and inadequate for modern NLP needs.
Confusion-aware curriculum ordering can boost data efficiency by up to 8.7% compared to random ordering, challenging traditional assumptions about curriculum learning effectiveness.
