SOTAVerified

Cross-Lingual Transfer

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.

Papers

Showing 6170 of 782 papers

TitleStatusHype
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine TranslationCode1
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language ModelsCode1
Composable Sparse Fine-Tuning for Cross-Lingual TransferCode1
Learning Compact Metrics for MTCode1
K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and SyllablesCode1
Visually Grounded Reasoning across Languages and CulturesCode1
xGQA: Cross-Lingual Visual Question AnsweringCode1
Efficient Test Time Adapter Ensembling for Low-resource Language VarietiesCode1
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
MultiEURLEX -- A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transferCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified