LLMBar
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Robustness Evaluation | LLMBar | Accuracy83.07 | 8 | |
| LLM-as-a-Judge Calibration | LLMBar (test) | Test Risk (MSE)0.194 | 7 | |
| Reward Modeling | LLMBar (test) | Test MSE (Table)0.2039 | 5 | |
| Quality-judgment accuracy | LLMBar ZH condition | Strict Accuracy (%)86.5 | 4 | |
| Quality-judgment accuracy | LLMBar EN condition | Strict Accuracy (LLMBar EN)89.5 | 4 | |
| Quality-judgment accuracy | LLMBar LS | Strict Accuracy86.5 | 4 |
Showing 6 of 6 rows