| Benchmark | Model | Rank | Results |
|---|---|---|---|
| natural-language-inference-on-scitail | Hierarchical BiLSTM Max Pooling | #4 | Accuracy: 86.0 |
| natural-language-inference-on-snli | 600D Hierarchical BiLSTM with Max Pooling (HBMP, code) | #36 | % Test Accuracy: 86.6% Train Accuracy: 89.9Parameters: 22m |