Machine Translation (X→En) on FLORES-101 (test)
11.5BLEU (low resource)many-to-many + xsim
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| many-to-many + xsimModel Type=many-to-many, Training Strategy=Auxiliary Similarity Loss (xsim)2026.01 | 11.5 | 17.8 | 17.4 | |
| many-to-one + xsimModel Type=many-to-one, Training Strategy=Auxiliary Similarity Loss (xsim)2026.01 | 10.8 | 15.7 | 14.5 | |
| many-to-many + multi-parallelModel Type=many-to-many, Training Strategy=multi-parallel batches2026.01 | 9.9 | 16.9 | 17.7 | |
| many-to-manyModel Type=many-to-many, Training Strategy=baseline2026.01 | 9.7 | 16.8 | 17.9 | |
| many-to-oneModel Type=many-to-one, Training Strategy=baseline2026.01 | 8.8 | 14.6 | 15 | |
| many-to-one + multi-parallelModel Type=many-to-one, Training Strategy=multi-parallel batches2026.01 | 8.6 | 14.7 | 14.9 |