Natural Language Inference on XNLI (test)
90Average AccuracyOurs
Evaluation results
| Method | Links | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ours2022.12 | 90 | 93.5 | 91.4 | 91.7 | 91.2 | 91.4 | 91.6 | 90.3 | 89.1 | 90 | 89.6 | 88 | 89.8 | 88.7 | 87.2 | 86.3 | — | — | — | — | |
| mT52022.12 | 85 | 91.6 | 86.9 | 87.8 | 87.3 | 87.3 | 87.7 | 85.1 | 83.8 | 84.5 | 84.6 | 81.7 | 83.6 | 83.2 | 80.3 | 79.8 | — | — | — | — | |
| FILTERProtocol=Translate-train, Learning approach=Self-Teaching2020.09 | 83.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM-ESize=XL, Params=2.2B2021.06 | 83.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FILTERProtocol=Translate-train2020.09 | 83.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MT5Size=XL, Params=3.7B2021.06 | 82.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM-RProtocol=Translate-train, Learning approach=multi-task2020.09 | 82.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM-RSize=XL, Params=3.5B2021.06 | 82.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| mDeBERTaV3baseEvaluation Setting=Translate train all2021.11 | 82.2 | 88.9 | 84.4 | 85.3 | 84.8 | 84 | 84.5 | 83.2 | 82 | 81.6 | 82 | 79.8 | 82.6 | 79.3 | 77.3 | 73.6 | — | — | — | — | |
| SoftMV-XLM-R_largeProtocol=Full-shot cross-lingual transfer, Backbone=XLM-R large, Mean of 5 runs=true2023.05 | 82.1 | 88.9 | 85.1 | 85.8 | 84.2 | 83.7 | 85.2 | 82.3 | 82.1 | 81.5 | 81.4 | 79.7 | 81.2 | 79.1 | 74.2 | 76.4 | — | — | — | — | |
| ChineseBERTModel Size=Large2021.06 | 81.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| InfoXLMProtocol=Cross-lingual zero-shot transfer2020.09 | 81.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| INFOXLMLARGE#M=1, setting=Cross-lingual Transfer2020.07 | 81.4 | 89.7 | 84.5 | 85.5 | 84.1 | 83.4 | 84.2 | 81.3 | 80.9 | 80.4 | 80.8 | 78.9 | 80.9 | 77.9 | 74.8 | 73.7 | — | — | — | — | |
| MacBERTModel Size=Large2021.06 | 81.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MacBERT-largeModel Size=large2019.06 | 81.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM-ESize=Large, Params=840M2021.06 | 81.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PCT-XLM-R_largeProtocol=Full-shot cross-lingual transfer, Backbone=XLM-R large, Mean of 5 runs=true2023.05 | 81.3 | 88.3 | 84.2 | 85.1 | 83.7 | 83.1 | 84.4 | 81.9 | 81.2 | 80.9 | 80.7 | 78.8 | 80.3 | 78.4 | 73.6 | 75.6 | — | — | — | — | |
| RoBERTaModel Size=Large, Pre-training Data=Extended2021.06 | 81.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RoBERTa-wwm-ext-largeModel Size=large, Whole Word Masking=true, Extended Training=true2019.06 | 81.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ERNIE 2.0Model Version=ERNIE 2.0, Model Scale=LARGE2019.07 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ELECTRA-largeModel Size=large2019.06 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM-RLARGE*#M=1, setting=Cross-lingual Transfer2020.07 | 80.9 | 89.1 | 84.1 | 85.1 | 83.9 | 82.9 | 84 | 81.2 | 79.6 | 79.8 | 80.8 | 78.1 | 80.2 | 76.9 | 73.9 | 73.8 | — | — | — | — | |
| XLM-RLARGE (reimpl)#M=1, setting=Cross-lingual Transfer2020.07 | 80.4 | 88.9 | 83.6 | 84.8 | 83.1 | 82.4 | 83.7 | 80.7 | 79.2 | 79 | 80.4 | 77.8 | 79.8 | 76.8 | 72.7 | 73.3 | — | — | — | — | |
| XLM-R_largeProtocol=Full-shot cross-lingual transfer, Backbone=XLM-R large, Mean of 5 runs=true2023.05 | 80.4 | 88.9 | 83.6 | 84.8 | 83.1 | 82.4 | 83.7 | 80.7 | 79.2 | 79 | 80.4 | 77.8 | 79.8 | 76.8 | 72.7 | 73.3 | — | — | — | — | |
| X-STILTSProtocol=Cross-lingual zero-shot transfer2020.09 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| INFOXLM#M=1, setting=Translate-Train-All2020.07 | 80 | 86.5 | 82.6 | 83 | 82.3 | 81.3 | 82.4 | 80.6 | 79.5 | 78.9 | 81 | 78.9 | 80.7 | 77.8 | 73.3 | 71.6 | — | — | — | — | |
| mDeBERTaV3baseEvaluation Setting=Cross-lingual transfer2021.11 | 79.8 | 88.2 | 82.6 | 84.4 | 82.7 | 82.3 | 82.4 | 80.8 | 79.5 | 78.5 | 78.1 | 76.4 | 79.5 | 75.9 | 73.9 | 72.4 | — | — | — | — | |
| ERNIE 2.0Model Version=ERNIE 2.0, Model Scale=BASE2019.07 | 79.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ChineseBERTModel Size=Base2021.06 | 79.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MacBERTModel Size=Base2021.06 | 79.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MacBERT-baseModel Size=base2019.06 | 79.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM-RProtocol=Cross-lingual zero-shot transfer2020.09 | 79.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM-R*#M=1, setting=Translate-Train-All2020.07 | 79.1 | 85.4 | 81.4 | 82.2 | 80.3 | 80.4 | 81.3 | 79.7 | 78.6 | 77.3 | 79.7 | 77.9 | 80.2 | 76.1 | 73.1 | 73 | — | — | — | — | |
| XLM-RbaseEvaluation Setting=Translate train all2021.11 | 79.1 | 85.4 | 81.4 | 82.2 | 80.3 | 80.4 | 81.3 | 79.7 | 78.6 | 77.3 | 79.7 | 77.9 | 80.2 | 76.1 | 73.1 | 73 | — | — | — | — | |
| RoBERTaModel Size=Base, Pre-training Data=Extended2021.06 | 78.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RoBERTa-wwm-extModel Size=base, Whole Word Masking=true, Extended Training=true2019.06 | 78.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SoftMV-XLM-R_baseProtocol=Full-shot cross-lingual transfer, Backbone=XLM-R base, Mean of 5 runs=true2023.05 | 78.8 | 85.2 | 80.8 | 79.9 | 78.7 | 84.1 | 81.3 | 79.5 | 76 | 77.5 | 78.8 | 77 | 76 | 72 | 77.7 | 77.8 | — | — | — | — | |
| BERTModel Size=Base, Pre-training Data=Extended2021.06 | 78.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BERT-wwm-extModel Size=base, Whole Word Masking=true, Extended Training=true2019.06 | 78.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM-R (reimpl)#M=1, setting=Translate-Train-All2020.07 | 78.6 | 85 | 81 | 81.9 | 80.6 | 79.7 | 81.4 | 79.5 | 77.7 | 77.3 | 79.5 | 77.5 | 79.1 | 75.3 | 72.2 | 70.9 | — | — | — | — | |
| ERNIEModel Size=Base2021.06 | 78.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ERNIE2019.04 | 78.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ERNIE 1.0Model Version=ERNIE 1.0, Model Scale=BASE2019.07 | 78.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ELECTRA-baseModel Size=base2019.06 | 78.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MindMergerStrategy=Soft2024.05 | 78.4 | 88.7 | 83.9 | 84.4 | 83.5 | 78.5 | 82.4 | 80.7 | 75.7 | 76.2 | 80.3 | 71.8 | 80 | 74.7 | 66.6 | 69.4 | — | — | — | — | |
| BERTModel Size=Base2021.06 | 78.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BERT-wwmModel Size=base, Whole Word Masking=true2019.06 | 78.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM*#M=1, setting=Translate-Train-All2020.07 | 77.8 | 85 | 80.8 | 81.3 | 80.3 | 79.1 | 80.9 | 78.3 | 75.6 | 77.6 | 78.5 | 76 | 79.5 | 72.9 | 72.8 | 68.5 | — | — | — | — | |
| BERTModel Size=base2019.06 | 77.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BERT2019.04 | 77.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BERTModel Version=BERT, Model Scale=BASE2019.07 | 77.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM (w/o TLM)*#M=1, setting=Translate-Train-All2020.07 | 76.9 | 84.5 | 80.1 | 81.3 | 79.3 | 78.6 | 79.4 | 77.5 | 75.2 | 75.6 | 78.3 | 75.7 | 78.3 | 72.1 | 69.2 | 67.7 | — | — | — | — | |
| XLMEvaluation Setting=Translate train all2021.11 | 76.9 | 84.5 | 80.1 | 81.3 | 79.3 | 78.6 | 79.4 | 77.5 | 75.2 | 75.6 | 78.3 | 75.7 | 78.3 | 72.1 | 69.2 | 67.7 | — | — | — | — | |
| XLM (MLM+TLM)Protocol=TRANSLATE-TRAIN2019.01 | 76.7 | 85 | 80.2 | 80.8 | 80.3 | 78.1 | 79.3 | 78.1 | 74.7 | 76.5 | 76.6 | 75.5 | 78.6 | 72.3 | 70.9 | 63.2 | — | — | — | — | |
| XLM-ESize=Base, Params=279M2021.06 | 76.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| INFOXLM#M=1, setting=Cross-lingual Transfer2020.07 | 76.5 | 86.4 | 80.3 | 80.9 | 79.3 | 77.8 | 79.3 | 77.6 | 75.6 | 74.2 | 77.1 | 74.6 | 77 | 72.2 | 67.5 | 67.3 | — | — | — | — | |
| LangBridge2024.05 | 76.5 | 83.4 | 79.9 | 80.5 | 78.8 | 79.1 | 79.6 | 77.4 | 74.8 | 75.2 | 78.5 | 72.4 | 77.4 | 71.1 | 71.7 | 66.9 | — | — | — | — | |
| XLM-R*#M=1, setting=Cross-lingual Transfer2020.07 | 76.2 | 85.8 | 79.7 | 80.7 | 78.7 | 77.5 | 79.6 | 78.1 | 74.2 | 73.8 | 76.5 | 74.6 | 76.7 | 72.4 | 66.5 | 68.3 | — | — | — | — | |
| XLM-RbaseEvaluation Setting=Cross-lingual transfer2021.11 | 76.2 | 85.8 | 79.7 | 80.7 | 78.7 | 77.5 | 79.6 | 78.1 | 74.2 | 73.8 | 76.5 | 74.6 | 76.7 | 72.4 | 66.5 | 68.3 | — | — | — | — | |
| -XLCO#M=1, setting=Cross-lingual Transfer2020.07 | 76 | 86.5 | 80.5 | 80.3 | 78.7 | 77.3 | 78.8 | 77.4 | 74.6 | 73.8 | 76.8 | 73.7 | 76.7 | 71.8 | 66.3 | 66.4 | — | — | — | — | |
| mT5baseEvaluation Setting=Translate train all2021.11 | 75.9 | 82 | 77.9 | 79.1 | 77.7 | 78.1 | 78.5 | 76.5 | 74.8 | 74.4 | 74.5 | 75 | 76 | 72.2 | 71.5 | 70.4 | — | — | — | — | |
| mT5baseEvaluation Setting=Cross-lingual transfer2021.11 | 75.4 | 84.7 | 79.1 | 80.3 | 77.4 | 77.1 | 78.6 | 77.1 | 72.8 | 73.3 | 74.2 | 73.2 | 74.1 | 70.8 | 69.4 | 68.3 | — | — | — | — | |
| UNICODER#M=1, setting=Cross-lingual Transfer2020.07 | 75.3 | 85.4 | 79.2 | 79.8 | 78.2 | 77.3 | 78.5 | 76.7 | 73.8 | 73.9 | 75.9 | 71.8 | 74.7 | 70.1 | 67.4 | 66.3 | — | — | — | — | |
| PCT-XLM-R_baseProtocol=Full-shot cross-lingual transfer, Backbone=XLM-R base, Mean of 5 runs=true2023.05 | 75.3 | 84.9 | 79.4 | 79.7 | 77.7 | 76.6 | 78.9 | 76.9 | 74 | 72.9 | 76 | 72 | 74.9 | 71.7 | 65.9 | 67.3 | — | — | — | — | |
| XLM (MLM+TLM)Protocol=Cross-lingual sentence encoder2019.01 | 75.1 | 85 | 78.7 | 78.9 | 77.8 | 76.6 | 77.4 | 75.3 | 72.5 | 73.1 | 76.1 | 73.2 | 76.5 | 69.6 | 68.4 | 67.3 | — | — | — | — | |
| mBERTProtocol=Translate-train, Learning approach=multi-task2020.09 | 75.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLM*#M=N, setting=Cross-lingual Transfer2020.07 | 75.1 | 85 | 78.7 | 78.9 | 77.8 | 76.6 | 77.4 | 75.3 | 72.5 | 73.1 | 76.1 | 73.2 | 76.5 | 69.6 | 68.4 | 67.3 | — | — | — | — | |
| Translate-En2024.05 | 75.1 | 87.4 | 80.4 | 81.4 | 80.6 | 79.3 | 80.8 | 76 | 74.5 | 68.9 | 76.7 | 69.5 | 74.8 | 68.7 | 65.3 | 61.6 | — | — | — | — | |
| XLM-R (reimpl)#M=1, setting=Cross-lingual Transfer2020.07 | 75 | 84.7 | 79.1 | 79.4 | 77.4 | 76.6 | 78.4 | 76 | 73.5 | 72.6 | 75.5 | 73 | 74.5 | 71 | 65.7 | 67.6 | — | — | — | — | |
| XLM (MLM+TLM)Protocol=TRANSLATE-TEST2019.01 | 74.2 | 85 | 79 | 79.5 | 78.1 | 77.8 | 77.6 | 75.5 | 73.7 | 73.7 | 70.8 | 70.4 | 73.6 | 69 | 64.7 | 65.1 | — | — | — | — | |
| XLM-R_baseProtocol=Full-shot cross-lingual transfer, Backbone=XLM-R base, Mean of 5 runs=true2023.05 | 74.2 | 84.6 | 78.2 | 79.2 | 77 | 75.9 | 77.5 | 75.5 | 72.9 | 72.1 | 74.8 | 71.6 | 73.7 | 69.8 | 64.7 | 65.1 | — | — | — | — | |
| SuperICLLLM=GPT-3.5, Plug-in Model=XLM-V2023.05 | 74.11 | 83.87 | 77.47 | 81.38 | 80.28 | 74.29 | 77.74 | 76.85 | 72.63 | 72.28 | 74.45 | 69.36 | 74.21 | 70.02 | 68.94 | 57.9 | — | — | — | — | |
| mBERTProtocol=Translate-train2020.09 | 74 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DP-XLM-R_baseProtocol=Full-shot cross-lingual transfer, Backbone=XLM-R base, Mean of 5 runs=true2023.05 | 73.9 | 83.9 | 78.1 | 78.5 | 76.1 | 75.7 | 77.1 | 75.3 | 73.2 | 71.6 | 74.7 | 70.9 | 73.4 | 70.2 | 63.6 | 65.5 | — | — | — | — | |
| MP-XLM-R_baseProtocol=Full-shot cross-lingual transfer, Backbone=XLM-R base, Mean of 5 runs=true2023.05 | 73.8 | 84.2 | 78.4 | 78.8 | 76.9 | 75.3 | 76.5 | 75.7 | 72.7 | 71.2 | 75.2 | 70.8 | 72.8 | 70.7 | 61.5 | 66 | — | — | — | — | |
| SP-XLM-R_baseProtocol=Full-shot cross-lingual transfer, Backbone=XLM-R base, Mean of 5 runs=true2023.05 | 73.7 | 84.7 | 78.3 | 78.8 | 75.6 | 75.3 | 76.3 | 75.7 | 73.3 | 70.3 | 74 | 70.6 | 74.1 | 70.2 | 62.8 | 64.9 | — | — | — | — | |
| QAlign2024.05 | 73.5 | 89.1 | 83.1 | 83.8 | 80.9 | 66.5 | 79.4 | 79.2 | 67.9 | 67 | 73.7 | 65.2 | 76.6 | 63.3 | 65.2 | 62.2 | — | — | — | — | |
| XLM-VType=Plug-in model, Status=Fine-tuned2023.05 | 73.03 | 83.55 | 77.01 | 77.07 | 75.23 | 72.73 | 77.09 | 73.53 | 72.34 | 70.78 | 72.91 | 68.9 | 73.75 | 69.62 | 67.43 | 63.57 | — | — | — | — | |
| Dong et al.Protocol=Full-shot cross-lingual transfer, Publication Year=2021, Mean of 5 runs=true2023.05 | 73 | 80.8 | 75.8 | 77.3 | 74.5 | 74.9 | 76.3 | 74.9 | 71.4 | 70 | 74.5 | 71.6 | 73.6 | 68.5 | 64.8 | 65.7 | — | — | — | — | |
| MultiReasonadaptation=SFT2024.05 | 71.9 | 88.8 | 82.9 | 83.9 | 82.3 | 67 | 78.7 | 79.7 | 65.6 | 61.7 | 73.7 | 60.1 | 79.1 | 61.7 | 56.3 | 57.5 | — | — | — | — | |
| XLM (MLM)Protocol=Cross-lingual sentence encoder2019.01 | 71.5 | 83.2 | 76.5 | 76.3 | 74.2 | 73.1 | 74 | 73.1 | 67.8 | 68.5 | 71.2 | 69.2 | 71.9 | 65.7 | 64.6 | 63.4 | — | — | — | — | |
| XLM (w/o TLM)*#M=N, setting=Cross-lingual Transfer2020.07 | 71.3 | 83.7 | 76.2 | 76.6 | 73.7 | 72.4 | 73 | 72.1 | 68.1 | 68.4 | 72 | 68.2 | 71.5 | 64.5 | 58 | 62.4 | — | — | — | — | |
| XLM (w/o TLM)*#M=1, setting=Cross-lingual Transfer2020.07 | 70.7 | 83.2 | 76.7 | 77.7 | 74 | 72.7 | 74.1 | 72.7 | 68.7 | 68.6 | 72.9 | 68.9 | 72.5 | 65.6 | 58.2 | 62.4 | — | — | — | — | |
| XLMEvaluation Setting=Cross-lingual transfer2021.11 | 70.7 | 83.2 | 76.7 | 77.7 | 74 | 72.7 | 74.1 | 72.7 | 68.7 | 68.6 | 72.9 | 68.9 | 72.5 | 65.6 | 58.2 | 62.4 | — | — | — | — | |
| XLMProtocol=Full-shot cross-lingual transfer, Mean of 5 runs=true2023.05 | 70.7 | 83.2 | 76.7 | 77.7 | 74 | 72.7 | 74.1 | 72.7 | 68.7 | 68.6 | 72.9 | 68.9 | 72.5 | 65.6 | 58.2 | 62.4 | — | — | — | — | |
| Artetxe and Schwenk (2018)Protocol=Cross-lingual sentence encoder2019.01 | 70.2 | 73.9 | 71.9 | 72.9 | 72.6 | 73.1 | 74.2 | 71.5 | 69.7 | 71.4 | 72 | 69.2 | 71.4 | 65.5 | 62.2 | 61 | — | — | — | — | |
| XLMProtocol=Cross-lingual zero-shot transfer2020.09 | 69.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MultiReasonadaptation=LoRA2024.05 | 68.9 | 90 | 82.2 | 82.8 | 80.6 | 64.7 | 76.7 | 76.7 | 61.9 | 60.9 | 73.7 | 55.7 | 74.7 | 56.4 | 45.9 | 49.3 | — | — | — | — | |
| MonoReason2024.05 | 68.7 | 90 | 82.2 | 82.8 | 80.6 | 63.7 | 76.7 | 77.6 | 61.9 | 60.9 | 73.7 | 55.4 | 74.7 | 55.7 | 45.9 | 49.2 | — | — | — | — | |
| Syntax-augmented mBERTsyntax-augmented=true2021.06 | 68.5 | 81.6 | 73.2 | 74.1 | 70.7 | 66.5 | 69.3 | 68.8 | 62.4 | 65.4 | 69.9 | — | 69.3 | 60.5 | — | 58.7 | — | — | — | — | |
| mBERT (Reference [1])Reference=[1]2021.06 | 67.5 | 80.8 | 73.4 | 73.5 | 70 | 65.3 | 68 | 67.8 | 60.9 | 64.3 | 69.3 | — | 67.8 | 58.9 | — | 57.2 | — | — | — | — | |
| mBERTbaseline=true2021.06 | 67.5 | 81.8 | 72.4 | 73.8 | 70.7 | 65.4 | 68 | 68.4 | 60.7 | 63.8 | 68.6 | — | 67.8 | 59.3 | — | 56.7 | — | — | — | — | |
| mBERTProtocol=Full-shot cross-lingual transfer, Mean of 5 runs=true2023.05 | 67.2 | 73.7 | 70.4 | 70.7 | 68.7 | 69.1 | 70.4 | 67.8 | 66.3 | 66.8 | 66.5 | 64.4 | 68.3 | 64.2 | 61.8 | 59.3 | — | — | — | — | |
| MBERT*#M=N, setting=Cross-lingual Transfer2020.07 | 66.3 | 82.1 | 73.8 | 74.3 | 71.1 | 66.4 | 68.9 | 69 | 61.6 | 64.9 | 69.5 | 55.8 | 69.3 | 60 | 50.4 | 58 | — | — | — | — | |
| Conneau et al. (2018b)Protocol=Cross-lingual sentence encoder2019.01 | 65.6 | 73.7 | 67.7 | 68.7 | 67.7 | 68.9 | 67.9 | 65.4 | 64.2 | 64.8 | 66.4 | 64.1 | 65.8 | 64.1 | 55.7 | 58.4 | — | — | — | — | |
| mBERTProtocol=Cross-lingual zero-shot transfer2020.09 | 65.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GPT-3.5 ICLModel=text-davinci-003, Shot Type=In-context Learning2023.05 | 64.94 | 74.03 | 74.99 | 76.79 | 71.78 | 65.85 | 67.64 | 65.39 | 66.01 | 60.15 | 62.91 | 57.03 | 67.9 | 56.29 | 56.13 | 51.18 | — | — | — | — | |
| DA-NetSource Language=en, es and ru2024.03 | 63.9 | — | 71.54 | — | 69.96 | — | 69.18 | — | — | — | 68.49 | 55.29 | — | 61.47 | 51.16 | — | — | — | — | — | |
| DA-NetSource Language=en, ar and zh2024.03 | 63.9 | — | 70.98 | — | 69.94 | — | 68.88 | — | — | — | 68.96 | 55.52 | — | 61.52 | 51.71 | — | — | — | — | — | |
| MindMergerStrategy=Hard2024.05 | 63.2 | 80.8 | 61.2 | 63.3 | 64.2 | 62.2 | 61.7 | 58.1 | 70 | 63.6 | 56.6 | 64.1 | 61.8 | 58.3 | 65.7 | 56.4 | — | — | — | — |