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Research map / Architectures and efficiency / RNNs and normalization

Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision

AAAI 2022 · Architectures and efficiency › RNNs and normalization · approach: Non-autoregressive translation · 25 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add DSLP to Vanilla NATVanilla NAT · WMT'14 EN-DEBLEU: 21.18 -> 22.72Helped
Add DSLP to Vanilla NATVanilla NAT · WMT'14 DE-ENBLEU: 24.93 -> 25.83Helped
Add DSLP to Vanilla NATVanilla NAT · WMT'16 EN-ROBLEU: 29.15 -> 30.48Helped
Add DSLP to Vanilla NATVanilla NAT · WMT'16 RO-ENBLEU: 29.69 -> 31.46Helped
Add DSLP to CTCCTC · WMT'14 EN-DEBLEU: 25.72 -> 26.85Helped
Add DSLP to GLATGLAT · WMT'14 DE-ENBLEU: 29.63 -> 29.90Helped
Add mixed training to DSLPVanilla NAT w/ DSLP · WMT'14 EN-DEBLEU: 22.72 -> 24.17Helped
Add mixed training to DSLPCTC w/ DSLP · WMT'16 RO-ENBLEU: 34.24 -> 34.60Helped
Add layer-wise prediction (LP) alone (ablation)Vanilla NAT · WMT'14 EN-DE; 6 layersBLEU: 21.18 -> 21.22 (+0.04)No clear effect
Add deep supervision (DS) alone (ablation)Vanilla NAT · WMT'14 EN-DE; 6 layersBLEU: 21.18 -> 21.84 (+0.66)Helped
Combine layer-wise prediction and deep supervision (ablation)Vanilla NAT · WMT'14 EN-DE; 6 layersBLEU: 21.18 -> 22.72 (+1.54)Helped
Add layer-wise prediction alone (ablation)Vanilla NAT · WMT'14 EN-DE; 12 layersBLEU: 22.22 -> 22.24 (+0.02)No clear effect

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