Sarcasm Detection on SinaSarc (test)
91.44AccuracyGAN and LLM-driven data augmentation framework
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| GAN and LLM-driven data augmentation frameworkCategory=Proposed, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 91.44 | 92.08 | 90.69 | 91.38 | 90.83 | 92.2 | 91.51 | |
| RoBERTa-largeCategory=Pre-trained, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 88.61 | 89.15 | 91.87 | 90.49 | 87.78 | 83.92 | 85.8 | |
| RoBERTa-baseCategory=Pre-trained, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 88 | 89.22 | 90.59 | 89.9 | 86.16 | 84.27 | 85.21 | |
| BERT-largeCategory=Pre-trained, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 87.35 | 88.04 | 90.89 | 89.44 | 86.27 | 82.25 | 84.21 | |
| BERT-baseCategory=Pre-trained, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 86.27 | 86.8 | 90.46 | 88.6 | 85.41 | 80.23 | 82.74 | |
| Baichuan2-7BCategory=LLMs, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 85.78 | 87.98 | 87.9 | 87.94 | 82.63 | 82.74 | 82.69 | |
| Qwen2-7BCategory=LLMs, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 85.74 | 84.8 | 87.1 | 85.93 | 86.74 | 84.38 | 85.54 | |
| FNNCategory=Neural Network, Features (T)=true, Features (C)=false, Features (U)=false2026.04 | 84.64 | 86.1 | 88.2 | 87.14 | 82.42 | 79.53 | 80.95 | |
| LSTMCategory=Neural Network, Features (T)=true, Features (C)=true, Features (U)=false2026.04 | 84.28 | 86.5 | 86.92 | 86.71 | 81.06 | 80.49 | 80.78 | |
| BiLSTM-AttCategory=Neural Network, Features (T)=true, Features (C)=true, Features (U)=false2026.04 | 84.14 | 85.98 | 87.35 | 86.66 | 81.38 | 79.53 | 80.44 | |
| GPT-4-TurboCategory=LLMs, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 83.78 | 86.38 | 86.06 | 86.22 | 80.08 | 80.5 | 80.29 | |
| BiLSTMCategory=Neural Network, Features (T)=true, Features (C)=true, Features (U)=false2026.04 | 83.71 | 85.45 | 87.22 | 86.33 | 81.07 | 78.65 | 79.84 | |
| Gemini-1.5-ProCategory=LLMs, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 83.37 | 84.58 | 87.8 | 86.16 | 81.46 | 77.01 | 79.17 | |
| LSTM-AttCategory=Neural Network, Features (T)=true, Features (C)=true, Features (U)=false2026.04 | 83.35 | 85.15 | 86.92 | 86.03 | 80.62 | 78.21 | 79.39 | |
| Mixtral 8x7BCategory=LLMs, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 83.32 | 84.33 | 88.08 | 86.16 | 81.7 | 76.48 | 79.01 | |
| SBERTCategory=Pre-trained, Features (T)=true, Features (C)=true, Features (U)=true2026.04 | 82.98 | 84.11 | 87.71 | 85.88 | 81.18 | 76.19 | 78.6 | |
| SVMCategory=Machine Learning, Features (T)=true, Features (C)=false, Features (U)=false2026.04 | 81.83 | 85.69 | 83.07 | 84.36 | 76.68 | 80.05 | 78.33 | |
| Random ForestCategory=Machine Learning, Features (T)=true, Features (C)=false, Features (U)=false2026.04 | 80.32 | 79.85 | 89.12 | 84.23 | 81.22 | 67.66 | 73.83 | |
| AdaBoostCategory=Machine Learning, Features (T)=true, Features (C)=false, Features (U)=false2026.04 | 72.31 | 75.06 | 79.46 | 77.2 | 67.75 | 62.04 | 64.77 |