Fine-grained Hate Categorization on H-VLI (Easy)
92.22AccuracyQwen3-VL-Plus
Evaluation Results
| Method | Links | |
|---|---|---|
| Qwen3-VL-PlusTraining=False2026.03 | 92.22 | |
| GPT-4oTraining=False2026.03 | 91.94 | |
| GPT-5-miniTraining=False, Framework=ARCADE2026.03 | 91.66 | |
| GPT-5Training=False2026.03 | 91.51 | |
| GPT-5-miniTraining=False2026.03 | 91.25 | |
| GPT-4.1-miniTraining=False2026.03 | 91.11 | |
| GPT-5Training=False, Framework=ARCADE2026.03 | 90.88 | |
| Gemini-2.5-FlashTraining=False2026.03 | 90.28 | |
| Qwen-VL-MaxTraining=False2026.03 | 89.44 | |
| Gemini-2.5-ProTraining=False2026.03 | 88.75 | |
| GPT-4oTraining=False, Framework=ARCADE2026.03 | 87.76 | |
| Qwen3-VL-PlusTraining=False, Framework=ARCADE2026.03 | 87.48 | |
| Qwen-VL-MaxTraining=False, Framework=ARCADE2026.03 | 86.85 | |
| Qwen-VL-PlusTraining=False2026.03 | 85.97 | |
| GPT-4.1-miniTraining=False, Framework=ARCADE2026.03 | 84.98 | |
| Qwen-VL-PlusTraining=False, Framework=ARCADE2026.03 | 83.5 | |
| Gemini-2.5-FlashTraining=False, Framework=ARCADE2026.03 | 83.17 | |
| Gemini-2.5-ProTraining=False, Framework=ARCADE2026.03 | 83.03 | |
| MMBTTraining=True2026.03 | 68.61 | |
| BERT+ViTTraining=True2026.03 | 68.33 | |
| PromptHateTraining=True2026.03 | 68.33 | |
| BERTTraining=True2026.03 | 65.83 | |
| MomentaTraining=True2026.03 | 60.69 | |
| ViT-b-16Training=True2026.03 | 41.94 |