Math Word Problem Solving On Alg514
Métriques
Accuracy (%)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| EPT-X | 67.07 | EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers | |
| GEO | 82.1 | Generating Equation by Utilizing Operators : GEO model | - |
| liblinear-QP | 79.7 | - | - |
| SAU-Solver | 57.39 | Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems | |
| MixedSP | 83 | - | - |
| ZDC | 79.7 | Deep Neural Solver for Math Word Problems | - |
| SIM | 71.2 | - | - |
| EPT | 81.31 | Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model | |
| ALLEQ | 68.7 | - | - |
| EPT | 73.91 | EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers |
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