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Abstractive Summarization on Gigaword (test)

39.81ROUGE-1OFA
20.559625.557330.55535.5527Jun 12, 2019Mar 27, 2020Jan 10, 2021Oct 27, 2021Aug 12, 2022May 28, 2023Mar 13, 2024

Evaluation results

MethodLinks
OFA2022.0239.8120.6637.11———
OFA2023.0239.8120.6637.11———
UNIMO2022.0239.7120.3736.88———
UNIMO2023.0239.7120.3736.88———
mPLUG-22023.0239.6520.6736.89———
ProphetNet2020.0139.5520.2736.57———
ProphetNet2022.0239.5520.2736.57———
ProphetNet2023.0239.5520.2736.57———
ERNIE-GENLARGEData=430G, Params=340M2020.0139.4620.3436.74———
PALMModel size=LARGE2020.0439.4520.3736.75———
ERNIE-GENLARGEData=16G, Params=340M2020.0139.2520.2536.53———
ERNIE-GENModel size=LARGE2020.0439.2520.2536.53———
PEGASUS (HugeNews)Data=3.8T, Params=568M2020.0139.1219.8636.24———
PEGASUS2020.0439.1219.8636.24———
PEGASUS2022.0239.1219.8636.24———
PEGASUS2023.0239.1219.8636.24———
BISET2019.0639.1119.7836.87———
PEGASUS(C4)Data=750G, Params=568M2020.0138.7519.9636.14———
PALM2020.0438.7519.7935.98———
MASS2020.0138.7319.7135.96———
MASS2022.0238.7319.7135.96———
MASS2023.0238.7319.7135.96———
UniLMModel size=LARGE2020.0438.4519.4535.75———
UniLM2020.0138.4519.4535.75———
UniLM2022.0238.4519.4535.75———
UniLM2023.0238.4519.4535.75———
DMAN2021.0338.2819.4635.4631.06——
MASS2020.0438.1319.8135.62———
BERTSHARE2022.0238.1319.8135.62———
BERTSHARE2023.0238.1319.8135.62———
Transformer2021.0337.5718.934.6930.38——
FTSum+2019.0637.2717.6534.24———
R³Sum+2019.0637.0419.0334.46———
Cao et al. (2018)Training=Supervised2019.0737.0419.0334.46———
Re3Sum2020.0137.0419.0334.46———
Contextual OracleType=Oracle performance, Selection=best summary among all finished hypothesis from beam search2019.0737.0315.4633.23———
OpenNMT2020.0136.7317.8633.68———
S2S+CGU+2019.0636.31833.8———
SEASS2019.0636.1517.5433.63———
Open-NMT2019.0634.0716.3531.78———
RAS-Elman2019.0633.7815.9731.15———
seq2seqTraining=Supervised, Architecture=seq-to-seq model with attention2019.0733.515.8531.44———
GPT-2medium_2.5#param.=2.12024.0333.4915.2731.2826.68——
GPSTmedium#param.=2.12024.0333.1915.2730.9126.46——
GPT-2medium#param.=2.02024.0333.1315.2730.8526.42——
GPSTmedium w/o sync#param.=2.12024.0332.8315.0630.5926.16——
GPT-2small_1.3#param.=1.12024.0332.7114.5430.3525.87——
Featseq2seq2019.0632.6715.5930.64———
GPSTsmall#param.=1.052024.0332.5314.7630.3725.89——
GPT-2small#param.=1.02024.0332.4514.8430.3725.88——
GPSTsmall-w/o sync#param.=1.052024.0332.3414.6929.9825.67——
ABS++2019.0629.7811.8926.97———
ABS+2019.0629.5511.3226.42———
Wang and Lee (2018)Training=Unsupervised2019.0727.099.8624.97———
Contextual MatchTraining=Unsupervised2019.0726.4810.0524.41———
Lead-75CType=Prefix baseline2019.0723.697.9321.5———
Schumann (2018)Training=Unsupervised2019.0722.194.5619.88———
Lead-8Type=Prefix baseline2019.0721.37.3419.94———
Baseline2021.08————76.1283.33
DAE2021.08————78.2386.33
Loss Truncation2021.08————79.5587.17
Selector-FBbeta=0.52021.08————54.7776.83
Selector-FBbeta=0.42021.08————59.7981.67
Selector-FBbeta=0.32021.08————60.7282
Selector-FBbeta=0.22021.08————68.3886
Selector-FBbeta=0.12021.08————79.9288
Selector-ROC2021.08————64.5884.17