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Machine Translation on WMT Ro-En '16

38.5BLEU ScoreXLM
19.634424.532229.4334.3278Feb 19, 2018Jun 28, 2019Nov 4, 2020Mar 14, 2022Jul 22, 2023Nov 28, 2024Apr 7, 2026

Evaluation results

MethodLinks
XLMPretraining=MLM, Training Configuration=ro <-> en + BT2019.0138.5——
XLMPretraining=CLM, Training Configuration=ro <-> en + BT2019.0137——
XLMPretraining=MLM, Training Configuration=ro <-> en2019.0135.6——
XLMPretraining=MLM, Training Configuration=ro -> en2019.0135.3——
XLMPretraining=None, Training Configuration=ro <-> en + BT2019.0134.4——
Sennrich et al.Pretraining=None, Note=Uses back-translation and ensemble2019.0133.9——
TransformerMBR=52026.0433.08——
ARBeam width (b)=42018.0232.06——
FastDiSSMBR=20, NFE=202026.0431.99——
FastDiSSMBR=10, NFE=202026.0431.89——
FastDiSSMBR=20, NFE=52026.0431.81——
ARBeam width (b)=12018.0231.55——
FastDiSSMBR=10, NFE=52026.0431.55——
XLMPretraining=CLM, Training Configuration=ro -> en2019.0131.5——
XLMPretraining=CLM, Training Configuration=ro <-> en2019.0131.5——
NATFertility (FT)=true, NPD reranking=100 samples2018.0231.44——
DINOISERMBR=50, NFE=202026.0431.22——
CMLMMBR=52026.0431.13——
FlowSeq-largeKnowledge Distillation=true, Decoding=argmax2019.0930.72——
FlowSeq-largeKnowledge Distillation=false, Decoding=argmax2019.0930.69——
FlowSeq-baseKnowledge Distillation=true, Decoding=argmax2019.0930.44——
Iterative RefinementAdaptive refinement steps=true2018.0230.3——
Iterative RefinementRefinement steps (i_dec)=102018.0230.19——
DiffusionLM‡MBR=50, NFE=202026.0430.17——
FlowSeq-baseKnowledge Distillation=false, Decoding=argmax2019.0930.16——
Iterative RefinementRefinement steps (i_dec)=52018.0229.72——
Difformer‡MBR=20, NFE=202026.0429.37——
NATFertility (FT)=true2018.0229.06——
NAT w/ FTKnowledge Distillation=true, Decoding=argmax2019.0929.06——
XLMPretraining=None, Training Configuration=ro <-> en2019.0128.5——
XLMPretraining=None, Training Configuration=ro -> en2019.0128.4——
Iterative RefinementRefinement steps (i_dec)=22018.0228.15——
Iterative RefinementRefinement steps (i_dec)=12018.0225.73——
NAT-IRKnowledge Distillation=true, Decoding=argmax2019.0925.73——
CTC LossKnowledge Distillation=true, Decoding=argmax2019.0924.71——
CMLM-baseKnowledge Distillation=true, Decoding=argmax2019.0922.78——
CMLM-smallKnowledge Distillation=true, Decoding=argmax2019.0920.36——