Trompt + OpenAI embedding

Reported on 4 benchmarks across 3 tasks · 1 paper · 2 SOTA

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

Natural Language Processing3 results

Binary Classificationonkickstarter
AUROC· 2024-03-31
0.81
SOTA
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning arXiv:2404.00776
Binary Classificationonfake
AUROC· 2024-03-31
0.979
SOTA
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning arXiv:2404.00776
Text ClassificationonCivil Comments
AUROC· 2024-03-31
0.947
best: 0.9818 (RoBERTa Focal Loss)
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning arXiv:2404.00776

Methodology1 result

ClassificationonCivil Comments
AUROC· 2024-03-31
0.947
best: 0.9818 (RoBERTa Focal Loss)
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning arXiv:2404.00776