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Models/RLAS-BIABC

RLAS-BIABC

Reported on 5 benchmarks across 1 task · 1 paper · 3 SOTA

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

Natural Language Processing7 results

  • Question AnsweringonTrecQA
    MRR· 2023-01-07
    0.998
    SOTA
    RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC AlgorithmarXiv:2301.02807
  • Question AnsweringonWikiQA
    MAP· uses extra data· 2023-01-07
    0.924
    best: 0.927 (TANDA-DeBERTa-V3-Large + ALL)
    SOTA
    RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC AlgorithmarXiv:2301.02807
  • Question AnsweringonWikiQA
    MAP · 2023-01-07
    0.888
    SOTA
    RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC AlgorithmarXiv:2301.02807
  • Question AnsweringonTrecQA
    MAP· 2023-01-07
    0.913
    best: 0.954 (TANDA DeBERTa-V3-Large + ALL)
    RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC AlgorithmarXiv:2301.02807
  • Question AnsweringonWikiQA
    MRR· uses extra data· 2023-01-07
    0.908
    best: 0.939 (TANDA-DeBERTa-V3-Large + ALL)
    RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC AlgorithmarXiv:2301.02807
  • Question AnsweringonTrecQA
    MAP· 2023-01-07
    0.913
    best: 0.954 (TANDA DeBERTa-V3-Large + ALL)
    RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC AlgorithmarXiv:2301.02807
  • Question AnsweringonTrecQA
    MRR· 2023-01-07
    0.998
    RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC AlgorithmarXiv:2301.02807