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SotA/Natural Language Processing/Text Classification/Civil Comments

Text Classification on Civil Comments

Metric: AUROC (higher is better)

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#Model↕AUROC▼Extra DataPaperDate↕Code
1RoBERTa Focal Loss0.9818NoA benchmark for toxic comment classification on ...2023-01-26Code
2RoBERTa BCE0.9813NoA benchmark for toxic comment classification on ...2023-01-26Code
3DistilBERT0.9804NoA benchmark for toxic comment classification on ...2023-01-26Code
4HateBERT0.9791NoA benchmark for toxic comment classification on ...2023-01-26Code
5AlBERT0.979NoA benchmark for toxic comment classification on ...2023-01-26Code
6BERTweet0.979NoA benchmark for toxic comment classification on ...2023-01-26Code
7ResNet + RoBERTa finetune0.97NoPyTorch Frame: A Modular Framework for Multi-Mod...2024-03-31Code
8Unfreeze Glove ResNet 440.966NoA benchmark for toxic comment classification on ...2023-01-26Code
9Unfreeze Glove ResNet 560.9639NoA benchmark for toxic comment classification on ...2023-01-26Code
10Compact Convolutional Transformer (CCT)0.9526NoA benchmark for toxic comment classification on ...2023-01-26Code
11Trompt + OpenAI embedding0.947NoPyTorch Frame: A Modular Framework for Multi-Mod...2024-03-31Code
12ResNet + OpenAI embedding0.945NoPyTorch Frame: A Modular Framework for Multi-Mod...2024-03-31Code
13Trompt + RoBERTa embedding0.885NoPyTorch Frame: A Modular Framework for Multi-Mod...2024-03-31Code
14ResNet + RoBERTa embedding0.882NoPyTorch Frame: A Modular Framework for Multi-Mod...2024-03-31Code
15LightGBM + RoBERTa embedding0.865NoPyTorch Frame: A Modular Framework for Multi-Mod...2024-03-31Code
16PaLM 2 (few-shot, k=10)0.8535NoPaLM 2 Technical Report2023-05-17Code
17PaLM 2 (zero-shot)0.7596NoPaLM 2 Technical Report2023-05-17Code