MR
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Text Classification | MR | Accuracy94.52 | 174 | |
| Text Classification | MR (test) | Accuracy93.13 | 164 | |
| Sentiment Analysis | MR | Accuracy0.939 | 160 | |
| Sentiment Classification | MR (test) | Accuracy98.6 | 154 | |
| Sentiment Classification | MR | Accuracy90.8 | 148 | |
| Sentiment Classification | MR | Accuracy72.96 | 24 | |
| Sentiment Analysis | MR | Spearman's rho0.8882 | 23 | |
| Adversarial Attack | MR | ASR62.2 | 22 | |
| Text Processing | MR | Latency (ms)2 | 20 | |
| Backdoor Defense | MR | AUC0.99 | 20 | |
| Text Classification | MR | CA89.85 | 20 | |
| Maximum Common Connected Subgraph (MCCS) Similarity Estimation | MR 20% (test) | MSE0.131 | 18 | |
| Maximum Common Edge Subgraph (MCES) Similarity Estimation | MR 20% (test) | MSE0.154 | 18 | |
| Graph Retrieval | MR (test) | MAP90.2 | 17 | |
| Text Classification | MR | Micro-F189.15 | 16 | |
| Sentiment Analysis | MR few-shot zero-shot | Accuracy88 | 16 | |
| Graph Retrieval | MR 25% (test) | MRR1 | 15 | |
| Medical Image Analysis | MR 2 tasks | Average Performance73 | 13 | |
| Sentiment Classification | MR (10-fold cross-validation) | Accuracy83.1 | 13 | |
| Graph Retrieval | MR 25% split (test) | MAP90.2 | 13 | |
| Text Classification | MR | Accuracy0.9087 | 12 | |
| Clustering | MR | ARI61.22 | 12 | |
| Sentiment Analysis | MR | Avg Accuracy89.6 | 11 | |
| Sentiment Analysis | MR Near OOD | Accuracy99.4 | 10 | |
| Text Classification | MR small-scale (test) | Accuracy86.5 | 10 |
Showing 25 of 37 rows