Trompt + RoBERTa embedding
Reported on 2 benchmarks across 2 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing1 result
- AUROC· 2024-03-310.885best: 0.9818 (RoBERTa Focal Loss)
Methodology1 result
- AUROC· 2024-03-310.885best: 0.9818 (RoBERTa Focal Loss)