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 61–70 of 782 papers

TitleStatusHype
Modelling Latent Translations for Cross-Lingual TransferCode1
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language ModelsCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
A Chinese Corpus for Fine-grained Entity TypingCode1
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue ModelingCode1
Composable Sparse Fine-Tuning for Cross-Lingual TransferCode1
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-SwitchingCode1
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Efficient Test Time Adapter Ensembling for Low-resource Language VarietiesCode1
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Benchmark Results

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