Humor Detection on UR-FUNNY
92.8AccuracySMILE-Next
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SMILE-Next2026.05 | 92.8 | — | — | — | |
| SMILE2026.05 | 79 | — | — | — | |
| UMQParameters=13,315,778, Source=Our experiments2026.03 | 78.8 | — | — | — | |
| MGCLParameters=14,062,342, Source=Our experiments2026.03 | 78.1 | — | — | — | |
| MCLParameters=13,762,973, Source=Our experiments2026.03 | 77.7 | — | — | — | |
| HKTSource=Original Paper2026.03 | 77.4 | — | — | — | |
| HKTParameters=17,066,564, Source=Our experiments2026.03 | 76.5 | — | — | — | |
| AtCAFSource=Original Paper2026.03 | 72.1 | — | — | — | |
| DMD+SuCISource=Original Paper2026.03 | 70.8 | — | — | — | |
| MISA2026.05 | 70.6 | — | — | — | |
| DMIL2026.06 | 65.5 | — | — | 69.15 | |
| TFN2026.05 | 64.7 | — | — | — | |
| Joint2026.06 | 63.71 | — | — | 67.99 | |
| FACTORCL-SUPTraining=Supervised2023.06 | 63.5 | — | — | — | |
| Ensemble2026.06 | 62.57 | — | — | 65.92 | |
| FACTORCL-SSLTraining=Self-supervised2023.06 | 60.5 | — | — | — | |
| Cross+Self+FactTraining=Self-supervised2023.06 | 59.9 | — | — | — | |
| OurCL-SSLTraining=Self-supervised2023.06 | 58.8 | — | — | — | |
| OurCL-SUPTraining=Supervised2023.06 | 58.3 | — | — | — | |
| Cross+SelfTraining=Self-supervised2023.06 | 56.5 | — | — | — | |
| SimCLRTraining=Self-supervised2023.06 | 50.1 | — | — | — | |
| SupConTraining=Supervised2023.06 | 50.1 | — | — | — | |
| C-MFN2026.02 | — | 64.5 | — | — | |
| C-MFNBackbone=GloVe2026.01 | — | 65.23 | — | — | |
| C-MFNBackbone=ALBERT2026.01 | — | 61.72 | — | — | |
| DHMD2026.02 | — | 71.3 | — | — | |
| DMD2026.02 | — | 69.5 | — | — | |
| GCNet2026.02 | — | 69.2 | — | — | |
| Gemma-3-4BModel size=4B2025.10 | — | — | 59.7 | — | |
| HCT-DMGModel Configuration=Conven.2026.01 | — | 68.54 | — | — | |
| HCT-DMGModel Configuration=LPM2026.01 | — | 75.09 | — | — | |
| HKT2026.01 | — | 76.36 | — | — | |
| HumanOmniV2-7BModel size=7B2025.10 | — | — | 63.8 | — | |
| IMDer2026.02 | — | 69.1 | — | — | |
| LMF2026.02 | — | 65.2 | — | — | |
| MFM2026.02 | — | 65.2 | — | — | |
| MISA2026.02 | — | 70.6 | — | — | |
| MISABackbone=GloVe2026.01 | — | 68.6 | — | — | |
| MISABackbone=BERT2026.01 | — | 69.62 | — | — | |
| MISABackbone=BERT, Input Context=punchline only2026.01 | — | 70.61 | — | — | |
| MISABackbone=ALBERT2026.01 | — | 69.82 | — | — | |
| MulT2026.02 | — | 68.4 | — | — | |
| OMNISAPIENS-7B BAMMethod variant=BAM2025.10 | — | — | 64.4 | — | |
| OMNISAPIENS-7B RLMethod variant=RL2025.10 | — | — | 63.9 | — | |
| OMNISAPIENS-7B SFTMethod variant=SFT2025.10 | — | — | 53.2 | — | |
| Qwen 2.5-Omni-7BModel size=7B2025.10 | — | — | 54.3 | — | |
| Qwen-2.5-VL-7BModel size=7B2025.10 | — | — | 58.3 | — | |
| SPT2026.02 | — | 70 | — | — | |
| TFN2026.02 | — | 64.7 | — | — |