ISSUES

Reported on 3 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 Processing3 results

Meme ClassificationonHarMeme
AUROC· 2023-10-12
92.83
best: 93.2 (RA-HMD (Qwen2VL-7B))
SOTA
Mapping Memes to Words for Multimodal Hateful Meme Classification arXiv:2310.08368
Meme ClassificationonHateful Memes
ROC-AUC· 2023-10-12
0.855
best: 0.911 (RA-HMD (Qwen2-VL-7B))
Mapping Memes to Words for Multimodal Hateful Meme Classification arXiv:2310.08368
Meme ClassificationonHarMeme
Accuracy· 2023-10-12
81.64
best: 88.1 (RA-HMD (Qwen2VL-7B))
Mapping Memes to Words for Multimodal Hateful Meme Classification arXiv:2310.08368