Math Word Problem Solving On Alg514
평가 지표
Accuracy (%)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy (%) |
|---|---|
| ept-x-an-expression-pointer-transformer-model | 67.07 |
| generating-equation-by-utilizing-operators | 82.1 |
| learn-to-solve-algebra-word-problems-using | 79.7 |
| semantically-aligned-universal-tree | 57.39 |
| learning-from-explicit-and-implicit | 83 |
| deep-neural-solver-for-math-word-problems | 79.7 |
| how-well-do-computers-solve-math-word | 71.2 |
| point-to-the-expression-solving-algebraic | 81.31 |
| learning-to-automatically-solve-algebra-word | 68.7 |
| ept-x-an-expression-pointer-transformer-model | 73.91 |