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/Graph2Tree

Graph2Tree

Reported on 12 benchmarks across 4 tasks

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

Knowledge Base6 results

  • Mathematical Question AnsweringonMath23K
    Accuracy (5-fold)
    75.5
    best: 94.3 (GPT-4 (Teaching-Inspired))
  • Mathematical Question AnsweringonMath23K
    Accuracy (training-test)
    77.4
    best: 87.1 (Multi-view* (ours))
  • Mathematical Question AnsweringonMAWPS
    Accuracy (%)
    83.7
    best: 95.7 (OpenMath-CodeLlama-70B (w/ code))
  • Mathematical ReasoningonMath23K
    Accuracy (5-fold)
    75.5
    best: 94.3 (GPT-4 (Teaching-Inspired))
  • Mathematical ReasoningonMath23K
    Accuracy (training-test)
    77.4
    best: 87.1 (Multi-view* (ours))
  • Mathematical ReasoningonMAWPS
    Accuracy (%)
    83.7
    best: 95.7 (OpenMath-CodeLlama-70B (w/ code))

Natural Language Processing3 results

  • Question AnsweringonMath23K
    Accuracy (5-fold)
    75.5
    best: 94.3 (GPT-4 (Teaching-Inspired))
  • Question AnsweringonMath23K
    Accuracy (training-test)
    77.4
    best: 87.1 (Multi-view* (ours))
  • Question AnsweringonMAWPS
    Accuracy (%)
    83.7
    best: 95.7 (OpenMath-CodeLlama-70B (w/ code))

Reasoning3 results

  • Math Word Problem SolvingonMath23K
    Accuracy (5-fold)
    75.5
    best: 94.3 (GPT-4 (Teaching-Inspired))
  • Math Word Problem SolvingonMath23K
    Accuracy (training-test)
    77.4
    best: 87.1 (Multi-view* (ours))
  • Math Word Problem SolvingonMAWPS
    Accuracy (%)
    83.7
    best: 95.7 (OpenMath-CodeLlama-70B (w/ code))