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Models/Hi-MAP

Hi-MAP

Reported on 6 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Adversarial3 results

  • Text GenerationonMulti-News
    ROUGE-2· 2019-06-04
    14.89
    best: 21.1 (PRIMER)
    SOTA
    Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelarXiv:1906.01749
  • Text GenerationonMulti-News
    ROUGE-SU4· 2019-06-04
    17.41
    best: 24.94 (LongT5)
    SOTA
    Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelarXiv:1906.01749
  • Text GenerationonMulti-News
    ROUGE-1· 2019-06-04
    43.47
    best: 49.9 (PRIMER)
    Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelarXiv:1906.01749

Knowledge Base3 results

  • Text SummarizationonMulti-News
    ROUGE-2· 2019-06-04
    14.89
    best: 21.1 (PRIMER)
    SOTA
    Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelarXiv:1906.01749
  • Text SummarizationonMulti-News
    ROUGE-SU4· 2019-06-04
    17.41
    best: 24.94 (LongT5)
    SOTA
    Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelarXiv:1906.01749
  • Text SummarizationonMulti-News
    ROUGE-1· 2019-06-04
    43.47
    best: 49.9 (PRIMER)
    Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelarXiv:1906.01749