ResNet + RoBERTa embedding
Reported on 3 benchmarks across 3 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- AUROC· 2024-03-310.882best: 0.9818 (RoBERTa Focal Loss)
- AUROC· 2024-03-310.934best: 0.979 (Trompt + OpenAI embedding)
Methodology1 result
- AUROC· 2024-03-310.882best: 0.9818 (RoBERTa Focal Loss)