| MASSIVE | ABEX | Micro F180.36 | | 64 | 3mo ago |
| ATIS | ABEX | Micro F197.92 | | 64 | 3mo ago |
| IMDB | EDA | Micro F190.2 | | 64 | 3mo ago |
| Yahoo | ABEX-stage-1 | Micro F157.13 | | 64 | 3mo ago |
| Huffpost low-resource (test) | GENIUS | Micro F184.21 | | 64 | 3mo ago |
| Breast Cancer dataset | CGR-Rips | Accuracy86.8 | | 36 | 3mo ago |
| ListOps | CMRU | Accuracy (%)61.39 | | 29 | 21d ago |
| GLUE & SuperGLUE (MultiRC, COPA, RTE, BoolQ, MRPC, CoLA) | | MultiRC Accuracy86.11 | | 24 | 1mo ago |
| Bit-stream XOR Event-based (irregular) encoding (test) | CfC-mmRNN | Accuracy99.72 | | 18 | 3mo ago |
| Bit-stream XOR Equidistant encoding (test) | | Accuracy100 | | 18 | 3mo ago |
| charIMDB | TransEvolve-randomFF-2 | Accuracy66.1 | | 13 | 3mo ago |
| Bit-stream sequence Event-based encoding (test) | ODE-LSTM | Accuracy98.89 | | 11 | 3mo ago |
| Bit-stream sequence Dense encoding (test) | | Test Accuracy1 | | 11 | 3mo ago |
| CIFAR-10 sequential standard (test) | MultiresNet | Accuracy93.15 | | 10 | 3mo ago |
| MassiveIntent European Languages | XLM-RoBERTa | Accuracy88.8 | | 8 | 1d ago |
| MassiveIntent All Languages | XLM-RoBERTa | Accuracy88.2 | | 8 | 1d ago |
| AmazonReviews European Languages | XLM-RoBERTa | Accuracy64.7 | | 8 | 1d ago |
| AmazonReviews All Languages | XLM-RoBERTa | Accuracy63.6 | | 8 | 1d ago |
| PAWS-X European Languages | EuroBERT | Accuracy93 | | 8 | 1d ago |
| PAWS-X All Languages | EuroBERT | Accuracy93 | | 8 | 1d ago |
| XNLI European Languages | EuroBERT | Accuracy86.8 | | 8 | 1d ago |
| XNLI All Languages | EuroBERT | Accuracy84.1 | | 8 | 1d ago |
| permuted sequential MNIST (test) | UNICORNN (L=3) | Test Accuracy98.4 | | 8 | 3mo ago |
| Spiking Heidelberg Dataset (SHD) | CNN | Accuracy92.4 | | 6 | 3mo ago |
| MNIST (test) | R-Transformer | Accuracy (Test)99.1 | | 6 | 3mo ago |
