German
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | German | Accuracy72.7 | 32 | |
| Node Classification | German (test) | F1 Score80.54 | 22 | |
| Classification | German | Delta DP-0.1023 | 20 | |
| Graph Multiple Sensitive Attribute Inference Attack | German | AA72.62 | 19 | |
| AUC Maximization | german | AUC0.763 | 19 | |
| Classification | German (test) | Error Rate23.12 | 16 | |
| Classification | German | Acc72.5 | 15 | |
| Unsupervised Constituency Parsing | German SPMRL (test) | S-F149.5 | 11 | |
| Named Entity Recognition | German (test) | F1 Score78.76 | 9 | |
| Node Classification | German | Training Time (s)7 | 8 | |
| Binary Classification | German | Mean F1 Score65.5664 | 8 | |
| Binary Classification | german LIBSVM (test) | AUC0.799 | 7 | |
| Classification | german dataset | ACC79.3 | 6 | |
| Multilingual Language Understanding | German | Average Performance55.7 | 6 | |
| Named Entity Recognition | German (de) (test) | F1 Score75.33 | 6 | |
| Fairness-aware Classification | German sex (test) | Accuracy67.2 | 5 | |
| Pairwise Learning | german (test) | Avg AUC0.799 | 5 | |
| Language Modeling | German DE (test) | Perplexity206 | 5 | |
| Speech Recognition | German | WER12.94 | 4 | |
| RST Parsing | German De | Span Score84.3 | 4 | |
| Sequential Decision Making | German tail mean over the last 200 iterations | Reward0.4546 | 3 | |
| Constrained Online Selection | German ε = 0.02, a ∈ [0.30, 0.99] (steady-state) | Oracle Reward0.4656 | 3 | |
| Counterfactual Explanation | German Data-supported | Retrain Robustness (R)1 | 3 | |
| Counterfactual Dataset Generation | German (test) | GT Count38 | 3 | |
| Language Modeling | German Tail (test) | Relative P95 RTF Reduction24.85 | 3 |
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