| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| SeaHorse European Languages | EuroBERT | Spearman Correlation64 | 8 | 1d ago | |
| SeaHorse All Languages | XLM-RoBERTa | Spearman Correlation67.5 | 8 | 1d ago | |
| WMT Ref-free European Languages | XLM-RoBERTa | Spearman Correlation0.444 | 8 | 1d ago | |
| WMT Ref-free All Languages | XLM-RoBERTa | Spearman Correlation44.5 | 8 | 1d ago | |
| WMT Ref-based European Languages | XLM-RoBERTa | Spearman Correlation48.5 | 8 | 1d ago | |
| WMT Ref-based All Languages | XLM-RoBERTa | Spearman Correlation47.7 | 8 | 1d ago | |
| Synthetic autoregressive multi-frequency sequences N=32 (test) | PyTorch Transformer (Self-Attn) | Test MSE0.003 | 2 | 2mo ago |
