Ron Zhu

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

Meme ClassificationonHateful Memes
ROC-AUC· uses extra data· 2020-12-15
0.845
best: 0.911 (RA-HMD (Qwen2-VL-7B))
SOTA
Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution arXiv:2012.08290
Meme ClassificationonHateful Memes
Accuracy· uses extra data· 2020-12-15
0.732
best: 0.847 (Human)
Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution arXiv:2012.08290