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Models/RuGPT-3 Large

RuGPT-3 Large

Reported on 7 benchmarks across 3 tasks · 1 paper · 1 SOTA

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

Natural Language Processing3 results

  • Question AnsweringonRuOpenBookQA
    Accuracy· 2022-10-23
    55.5
    best: 86.5 (Human benchmark)
    TAPE: Assessing Few-shot Russian Language UnderstandingarXiv:2210.12813
  • Question AnsweringonCheGeKa
    Accuracy
    0
    best: 64.5 (Human benchmark)
  • Question AnsweringonMultiQ
    Accuracy
    0
    best: 91 (Human benchmark)

Miscellaneous2 results

  • EthicsonEthics
    Accuracy· 2022-10-23
    68.6
    SOTA
    TAPE: Assessing Few-shot Russian Language UnderstandingarXiv:2210.12813
  • EthicsonEthics (per ethics)
    Accuracy· 2022-10-23
    44.9
    best: 67.6 (Human benchmark)
    TAPE: Assessing Few-shot Russian Language UnderstandingarXiv:2210.12813

Methodology2 results

  • Logical ReasoningonWinograd Automatic
    Accuracy· 2022-10-23
    55.5
    best: 87 (Human benchmark)
    TAPE: Assessing Few-shot Russian Language UnderstandingarXiv:2210.12813
  • Logical ReasoningonRuWorldTree
    Accuracy · 2022-10-23
    40.7
    best: 83.7 (Human benchmark)
    TAPE: Assessing Few-shot Russian Language UnderstandingarXiv:2210.12813