| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MMSD 1.0 (test) | Commander | F1 Score86.7 | 38 | 1mo ago | |
| MSD | URMF | Accuracy95.02 | 33 | 1mo ago | |
| SemEval 2018 | WM-SAR | Accuracy71.4 | 24 | 3mo ago | |
| IAC V2 | RAM-SD | Accuracy80.13 | 24 | 3mo ago | |
| IAC V1 | RAM-SD | Accuracy74.81 | 24 | 3mo ago | |
| SinaSarc (test) | GAN and LLM-driven data augmentation framework | Accuracy91.44 | 19 | 1mo ago | |
| Bangla | Accuracy89.23 | 15 | 1mo ago | ||
| CSC (test) | DPUA | Accuracy85.57 | 14 | 21d ago | |
| MUStARD | HCT-DMG | Accuracy76.62 | 13 | 3mo ago | |
| MUSTARD++ (test) | MuVaC | F1 Score83.2 | 13 | 3mo ago | |
| Sarcasm Corpus Dialogues V2 (test) | Our Model | Accuracy83.6 | 11 | 1mo ago | |
| Twitter (test) | Our Model | Accuracy98.3 | 11 | 1mo ago | |
| DEBERTA | Accuracy73.8 | 11 | 3mo ago | ||
| DEBERTA | Accuracy81.9 | 11 | 3mo ago | ||
| IAC-V1, IAC-V2, and SemEval-2018 Average | WM-SAR | Accuracy0.75 | 10 | 3mo ago | |
| SARC 2.0 | Our Model | Accuracy82.4 | 9 | 1mo ago | |
| FigLang Reddit | Precision72.3 | 9 | 3mo ago | ||
| FigLang Twitter | Hyphen-hyperbolic | Precision82.3 | 9 | 3mo ago | |
| MMSD 2.0 | GRASP | Accuracy78.33 | 8 | 1mo ago | |
| Bangla Sarcasm Dataset | Accuracy Gap (AG)93 | 8 | 1mo ago | ||
| Bangla Sarcasm | EOD0 | 8 | 1mo ago | ||
| MUStARD (held-out) | OMNISAPIENS-7B SFT | F1 Score65.8 | 8 | 3mo ago | |
| Sarcasm dataset (test) | LogicDM | Accuracy88.1 | 8 | 3mo ago | |
| SARC_csd v1.0 (test) | CASCADE | F1 Score77 | 7 | 3mo ago | |
| SARC Pol 1.0 | CASCADE | Accuracy74 | 6 | 3mo ago |
