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Models/SeqGAN

SeqGAN

Reported on 9 benchmarks across 1 task · 1 paper · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Adversarial9 results

  • Text GenerationonCOCO Captions
    BLEU-2· 2016-09-18
    0.831
    best: 2 (tecpic)
    SOTA
    SeqGAN: Sequence Generative Adversarial Nets with Policy GradientarXiv:1609.05473
  • Text GenerationonCOCO Captions
    BLEU-3· 2016-09-18
    0.642
    best: 0.88 (LeakGAN)
    SOTA
    SeqGAN: Sequence Generative Adversarial Nets with Policy GradientarXiv:1609.05473
  • Text GenerationonCOCO Captions
    BLEU-4· 2016-09-18
    0.521
    best: 0.778 (LeakGAN)
    SOTA
    SeqGAN: Sequence Generative Adversarial Nets with Policy GradientarXiv:1609.05473
  • Text GenerationonCOCO Captions
    BLEU-5· 2016-09-18
    0.427
    best: 0.686 (LeakGAN)
    SOTA
    SeqGAN: Sequence Generative Adversarial Nets with Policy GradientarXiv:1609.05473
  • Text GenerationonEMNLP2017 WMT
    BLEU-2· 2016-09-18
    0.859
    best: 0.956 (LeakGAN)
    SOTA
    SeqGAN: Sequence Generative Adversarial Nets with Policy GradientarXiv:1609.05473
  • Text GenerationonEMNLP2017 WMT
    BLEU-3· 2016-09-18
    0.6015
    best: 0.819 (LeakGAN)
    SOTA
    SeqGAN: Sequence Generative Adversarial Nets with Policy GradientarXiv:1609.05473
  • Text GenerationonEMNLP2017 WMT
    BLEU-4· 2016-09-18
    0.4541
    best: 0.627 (LeakGAN)
    SOTA
    SeqGAN: Sequence Generative Adversarial Nets with Policy GradientarXiv:1609.05473
  • Text GenerationonEMNLP2017 WMT
    BLEU-5· 2016-09-18
    0.4498
    best: 0.498 (LeakGAN)
    SOTA
    SeqGAN: Sequence Generative Adversarial Nets with Policy GradientarXiv:1609.05473
  • Text GenerationonChinese Poems
    BLEU-2· 2016-09-18
    0.738
    best: 0.812 (RankGAN)
    SOTA
    SeqGAN: Sequence Generative Adversarial Nets with Policy GradientarXiv:1609.05473