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 3140 of 782 papers

TitleStatusHype
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
Cross-Lingual Natural Language Generation via Pre-TrainingCode1
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual RetrievalCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
An Empirical Study on Cross-X Transfer for Legal Judgment PredictionCode1
Composable Sparse Fine-Tuning for Cross-Lingual TransferCode1
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-SwitchingCode1
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
Code-Mixing on Sesame Street: Dawn of the Adversarial PolyglotsCode1
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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