Math Word Problem Solving on Math23K (5-fold cross-val)
85.2AccuracyMulti-view
Evaluation Results
| Method | Links | |
|---|---|---|
| Multi-viewCategory=Consistent Multi-View Learning, Pre-trained language model=true2022.10 | 85.2 | |
| Gen&RankPre-training architecture=Seq2Seq pre-train2021.07 | 84.3 | |
| Generate & Ranktraining=multi-task training2021.09 | 84.3 | |
| RE-DeductionCategory=I-RE, Pre-trained language model=true2022.10 | 83.3 | |
| RE-ExtModel Category=Seq2Exp2023.10 | 83.3 | |
| Ana-CLModel Category=Seq2Seq/Tree, reproduced=true2023.10 | 83.2 | |
| M-ViewModel Category=Seq2Exp2023.10 | 83.1 | |
| ElasticModel Category=Seq2Exp, reproduced=true2023.10 | 82.9 | |
| Textual-CLModel Category=Seq2Seq/Tree, reproduced=true2023.10 | 82.6 | |
| MWP-BERTPre-training architecture=Encoder pre-train, Pre-training=MWP pre-training and fine-tuning2021.07 | 82.4 | |
| BERT-TreeCategory=Structure-Gen, Pre-trained language model=true2022.10 | 82.3 | |
| BERT-TModel Category=Seq2Seq/Tree2023.10 | 82.3 | |
| RPKHS2021.07 | 82.2 | |
| H-ReasonerCategory=Structure-Gen, Pre-trained language model=true2022.10 | 82.2 | |
| H-ReasonerModel Category=Seq2Seq/Tree2023.10 | 82.2 | |
| BERTPre-training architecture=Encoder pre-train, Pre-training=None2021.07 | 82 | |
| MWP-RoBERTaPre-training architecture=Encoder pre-train, Pre-training=MWP pre-training and fine-tuning2021.07 | 82 | |
| RoBERTaPre-training architecture=Encoder pre-train, Pre-training=None2021.07 | 81.7 | |
| REAL2021.09 | 80.8 | |
| M-TreeModel Category=Seq2Exp, reproduced=true2023.10 | 80.8 | |
| REALPre-training architecture=Seq2Seq pre-train2021.07 | 80 | |
| mBARTtraining=fine-tuning2021.09 | 80 | |
| Ape2021.09 | 77.5 | |
| T-DisCategory=CL-Gen, Pre-trained language model=true2022.10 | 77.2 | |
| T-DisModel Category=Seq2Seq/Tree2023.10 | 77.2 | |
| Multi-E/D2021.09 | 76.9 | |
| E-PointerModel Category=Seq2Exp, reproduced=true2023.10 | 76.5 | |
| Symbol-SolverCategory=Structure-Gen, Pre-trained language model=false2022.10 | 75.7 | |
| Graph2Tree2021.09 | 75.5 | |
| Graph2Tree2021.07 | 75.5 | |
| Graph2TreeCategory=Structure-Gen, Pre-trained language model=false2022.10 | 75.5 | |
| G2TModel Category=Seq2Seq/Tree2023.10 | 75.5 | |
| Graph2Tree2021.09 | 75.5 | |
| Symbol-DecModel Category=Seq2Seq/Tree2023.10 | 75.3 | |
| TSN-MD2021.09 | 75.1 | |
| TSN-MD2021.07 | 75.1 | |
| DAGCategory=I-RE, Pre-trained language model=true2022.10 | 75.1 | |
| DAGModel Category=Seq2Exp2023.10 | 75.1 | |
| SAU-Solverevaluation_protocol=5-fold cross-validation2020.10 | 74.84 | |
| SAU-Solver w/o SSARevaluation_protocol=5-fold cross-validation2020.10 | 74.53 | |
| GTS2021.09 | 74.3 | |
| GTS2021.07 | 74.3 | |
| GTSCategory=Structure-Gen, Pre-trained language model=false2022.10 | 74.3 | |
| GTSModel Category=Seq2Seq/Tree2023.10 | 74.3 | |
| GTS2021.09 | 74.3 | |
| GTSevaluation_protocol=5-fold cross-validation2020.10 | 73.9 | |
| GroupAttnCategory=Seq2Seq, Pre-trained language model=false2022.10 | 66.9 | |
| GroupAttnModel Category=Seq2Seq/Tree2023.10 | 66.9 | |
| Group-ATT2021.09 | 66.9 | |
| StackDecoderevaluation_protocol=5-fold cross-validation2020.10 | 66 | |
| StackDecoder2021.09 | 65.8 | |
| S-Aligned2021.09 | 65.8 | |
| Seq2Seq-attn w/ SNIevaluation_protocol=5-fold cross-validation2020.10 | 58.1 | |
| DNS2021.09 | 58.1 | |
| DNS2021.07 | 58.1 | |
| DNS2021.09 | 58.1 |