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Models/words-lvt5k-1sent

words-lvt5k-1sent

Reported on 6 benchmarks across 1 task · 1 paper · 6 SOTA

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

Knowledge Base6 results

  • Text SummarizationonDUC 2004 Task 1
    ROUGE-1· 2016-02-19
    28.61
    best: 33.06 (Transformer+WDrop)
    SOTA
    Abstractive Text Summarization Using Sequence-to-Sequence RNNs and BeyondarXiv:1602.06023
  • Text SummarizationonDUC 2004 Task 1
    ROUGE-2· 2016-02-19
    9.42
    best: 17.74 (Transformer LM)
    SOTA
    Abstractive Text Summarization Using Sequence-to-Sequence RNNs and BeyondarXiv:1602.06023
  • Text SummarizationonDUC 2004 Task 1
    ROUGE-L· 2016-02-19
    25.24
    best: 28.52 (Transformer+LRPE+PE+Re-ranking+Ensemble)
    SOTA
    Abstractive Text Summarization Using Sequence-to-Sequence RNNs and BeyondarXiv:1602.06023
  • Text SummarizationonGigaWord
    ROUGE-1· 2016-02-19
    36.4
    best: 60.12 (OpenAI/o3-mini)
    SOTA
    Abstractive Text Summarization Using Sequence-to-Sequence RNNs and BeyondarXiv:1602.06023
  • Text SummarizationonGigaWord
    ROUGE-2· 2016-02-19
    17.7
    best: 54.22 (OpenAI/o3-mini)
    SOTA
    Abstractive Text Summarization Using Sequence-to-Sequence RNNs and BeyondarXiv:1602.06023
  • Text SummarizationonGigaWord
    ROUGE-L· 2016-02-19
    33.71
    best: 60.29 (Riple/Saanvi-v0.1)
    SOTA
    Abstractive Text Summarization Using Sequence-to-Sequence RNNs and BeyondarXiv:1602.06023