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/HyperQA

HyperQA

Reported on 8 benchmarks across 1 task · 1 paper · 8 SOTA

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

Natural Language Processing8 results

  • Question AnsweringonSemEvalCQA
    MAP· 2017-07-25
    0.795
    SOTA
    Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringarXiv:1707.07847
  • Question AnsweringonSemEvalCQA
    P@1· 2017-07-25
    0.809
    SOTA
    Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringarXiv:1707.07847
  • Question AnsweringonYahooCQA
    MRR· 2017-07-25
    0.801
    best: 0.863 (sMIM (1024) +)
    SOTA
    Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringarXiv:1707.07847
  • Question AnsweringonYahooCQA
    P@1· 2017-07-25
    0.683
    best: 0.757 (sMIM (1024) +)
    SOTA
    Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringarXiv:1707.07847
  • Question AnsweringonTrecQA
    MAP· 2017-07-25
    0.77
    best: 0.954 (TANDA DeBERTa-V3-Large + ALL)
    SOTA
    Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringarXiv:1707.07847
  • Question AnsweringonTrecQA
    MRR· 2017-07-25
    0.825
    best: 0.998 (RLAS-BIABC)
    SOTA
    Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringarXiv:1707.07847
  • Question AnsweringonWikiQA
    MAP· 2017-07-25
    0.712
    best: 0.927 (TANDA-DeBERTa-V3-Large + ALL)
    SOTA
    Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringarXiv:1707.07847
  • Question AnsweringonWikiQA
    MRR· 2017-07-25
    0.727
    best: 0.939 (TANDA-DeBERTa-V3-Large + ALL)
    SOTA
    Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringarXiv:1707.07847