TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/SeqPlan

SeqPlan

Reported on 16 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Adversarial8 results

  • Text GenerationonRotoWire (Relation Generation)
    count· 2022-02-28
    46.7
    SOTA
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Text GenerationonMLB Dataset (Content Ordering)
    DLD· 2022-02-28
    22.7
    SOTA
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Text GenerationonMLB Dataset
    BLEU· 2022-02-28
    14.29
    SOTA
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Text GenerationonMLB Dataset (Relation Generation)
    Precision· 2022-02-28
    95.9
    SOTA
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Text GenerationonRotoWire (Relation Generation)
    Precision· 2022-02-28
    97.6
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Text GenerationonMLB Dataset (Content Selection)
    Precision· 2022-02-28
    43.3
    best: 49.39 (Force-Copy)
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Text GenerationonMLB Dataset (Content Selection)
    Recall· 2022-02-28
    53.5
    best: 54.9 (Macro)
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Text GenerationonMLB Dataset (Relation Generation)
    count· 2022-02-28
    28.9
    best: 30.8 (Macro)
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756

Natural Language Processing8 results

  • Data-to-Text GenerationonRotoWire (Relation Generation)
    count· 2022-02-28
    46.7
    SOTA
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Data-to-Text GenerationonMLB Dataset (Content Ordering)
    DLD· 2022-02-28
    22.7
    SOTA
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Data-to-Text GenerationonMLB Dataset
    BLEU· 2022-02-28
    14.29
    SOTA
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Data-to-Text GenerationonMLB Dataset (Relation Generation)
    Precision· 2022-02-28
    95.9
    SOTA
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Data-to-Text GenerationonRotoWire (Relation Generation)
    Precision· 2022-02-28
    97.6
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Data-to-Text GenerationonMLB Dataset (Content Selection)
    Precision· 2022-02-28
    43.3
    best: 49.39 (Force-Copy)
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Data-to-Text GenerationonMLB Dataset (Content Selection)
    Recall· 2022-02-28
    53.5
    best: 54.9 (Macro)
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756
  • Data-to-Text GenerationonMLB Dataset (Relation Generation)
    count· 2022-02-28
    28.9
    best: 30.8 (Macro)
    Data-to-text Generation with Variational Sequential PlanningarXiv:2202.13756