PromptHate
Reported on 2 benchmarks across 1 task · 1 paper · 1 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- Accuracy· 2023-02-08SOTA84.47best: 88.1 (RA-HMD (Qwen2VL-7B))
- AUROC· 2023-02-0890.96best: 93.2 (RA-HMD (Qwen2VL-7B))