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Models/RGCL

RGCL

Reported on 8 benchmarks across 1 task · 1 paper · 7 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing8 results

Meme ClassificationonMultiOFF
Accuracy· 2023-11-14
67.1
best: 71.1 (RA-HMD (Qwen2-VL-7B))
SOTA
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110
Meme ClassificationonMultiOFF
F1· 2023-11-14
58.1
best: 64.8 (RA-HMD (Qwen2-VL-7B))
SOTA
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110
Meme ClassificationonHarMeme
Accuracy· 2023-11-14
87
best: 88.1 (RA-HMD (Qwen2VL-7B))
SOTA
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110
Meme ClassificationonHarm-P
Accuracy· 2023-11-14
89.9
best: 91.6 (RA-HMD (Qwen2-VL-7B))
SOTA
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110
Meme ClassificationonHarm-P
F1· 2023-11-14
89.5
best: 91.1 (RA-HMD (Qwen2-VL-7B))
SOTA
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110
Meme ClassificationonPrideMM
Accuracy· 2023-11-14
76.3
best: 78.1 (RA-HMD (Qwen2-VL-7B))
SOTA
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110
Meme ClassificationonPrideMM
F1· 2023-11-14
76.5
best: 78.4 (RA-HMD (Qwen2-VL-7B))
SOTA
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110
Meme ClassificationonHarMeme
AUROC· 2023-11-14
91.8
best: 93.2 (RA-HMD (Qwen2VL-7B))
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning arXiv:2311.08110