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Models/MsAT-DeductReasoner

MsAT-DeductReasoner

Reported on 8 benchmarks across 4 tasks · 1 paper · 4 SOTA

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

Knowledge Base4 results

  • Mathematical Question AnsweringonMAWPS
    Accuracy (%)· 2023-06-02
    94.3
    best: 95.7 (OpenMath-CodeLlama-70B (w/ code))
    SOTA
    Learning Multi-Step Reasoning by Solving Arithmetic TasksarXiv:2306.01707
  • Mathematical ReasoningonMAWPS
    Accuracy (%)· 2023-06-02
    94.3
    best: 95.7 (OpenMath-CodeLlama-70B (w/ code))
    SOTA
    Learning Multi-Step Reasoning by Solving Arithmetic TasksarXiv:2306.01707
  • Mathematical Question AnsweringonSVAMP
    Execution Accuracy· 2023-06-02
    48.9
    best: 93.9 (GPT-4 (Teaching-Inspired))
    Learning Multi-Step Reasoning by Solving Arithmetic TasksarXiv:2306.01707
  • Mathematical ReasoningonSVAMP
    Execution Accuracy· 2023-06-02
    48.9
    best: 93.9 (GPT-4 (Teaching-Inspired))
    Learning Multi-Step Reasoning by Solving Arithmetic TasksarXiv:2306.01707

Natural Language Processing2 results

  • Question AnsweringonMAWPS
    Accuracy (%)· 2023-06-02
    94.3
    best: 95.7 (OpenMath-CodeLlama-70B (w/ code))
    SOTA
    Learning Multi-Step Reasoning by Solving Arithmetic TasksarXiv:2306.01707
  • Question AnsweringonSVAMP
    Execution Accuracy· 2023-06-02
    48.9
    best: 93.9 (GPT-4 (Teaching-Inspired))
    Learning Multi-Step Reasoning by Solving Arithmetic TasksarXiv:2306.01707

Reasoning2 results

  • Math Word Problem SolvingonMAWPS
    Accuracy (%)· 2023-06-02
    94.3
    best: 95.7 (OpenMath-CodeLlama-70B (w/ code))
    SOTA
    Learning Multi-Step Reasoning by Solving Arithmetic TasksarXiv:2306.01707
  • Math Word Problem SolvingonSVAMP
    Execution Accuracy· 2023-06-02
    48.9
    best: 93.9 (GPT-4 (Teaching-Inspired))
    Learning Multi-Step Reasoning by Solving Arithmetic TasksarXiv:2306.01707