Gender Bias Mitigation on Multilingual CrowS-Pairs
0.83Bias Score (DE)MSD
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MSDBackbone=mBERT2026.04 | 0.83 | 3.33 | 2.98 | 3.43 | 2.64 | |
| CDABackbone=XLM-R2026.04 | 1.37 | 4.17 | 0.26 | 6.98 | 3.2 | |
| MSDBackbone=XLM-R2026.04 | 2.11 | 11.67 | 1.86 | 2.71 | 4.59 | |
| MDBackbone=mBERT, Tuning Method=Prefix Tune2026.04 | 2.59 | 1.67 | 0.77 | 7.23 | 3.06 | |
| MDBackbone=XLM-R, Tuning Method=Full Fine-Tune2026.04 | 3.1 | 1.67 | 5.03 | 0.14 | 2.49 | |
| MDBackbone=mBERT, Tuning Method=Prompt Tune2026.04 | 3.38 | 2.5 | 2.41 | 0.69 | 2.24 | |
| SDBackbone=XLM-R2026.04 | 4.74 | 10 | 0.6 | 0.07 | 3.85 | |
| MDBackbone=XLM-R, Tuning Method=Adapter Tune2026.04 | 4.74 | 0 | 2.99 | 0.36 | 2.02 | |
| MDBackbone=mBERT, Tuning Method=Full Fine-Tune2026.04 | 5.06 | 4.17 | 0.92 | 0.5 | 2.66 | |
| MCDABackbone=XLM-R2026.04 | 6.31 | 3.96 | 3.34 | 5.33 | 4.73 | |
| MDBackbone=XLM-R, Tuning Method=Prefix Tune2026.04 | 6.5 | 3.33 | 4.94 | 3.56 | 4.58 | |
| XLM-RBackbone=XLM-R2026.04 | 7.35 | 8.33 | 8.6 | 3.56 | 6.96 | |
| MDBackbone=XLM-R, Tuning Method=Prompt Tune2026.04 | 8.23 | 1.67 | 9.21 | 3.7 | 5.7 | |
| SDBackbone=mBERT2026.04 | 8.46 | 5.83 | 2.92 | 6.04 | 5.81 | |
| mBERTBackbone=mBERT2026.04 | 8.48 | 2.5 | 4.26 | 3.58 | 4.71 | |
| MCDABackbone=mBERT2026.04 | 10.61 | 2.71 | 3.78 | 2.31 | 4.85 | |
| MDBackbone=mBERT, Tuning Method=Adapter Tune2026.04 | 11.88 | 0 | 0.77 | 2.73 | 3.85 | |
| CDABackbone=mBERT2026.04 | 12.73 | 0.83 | 22.81 | 3.49 | 9.97 |