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 4150 of 782 papers

TitleStatusHype
A cost-benefit analysis of cross-lingual transfer methodsCode1
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Few-shot Learning with Multilingual Language ModelsCode1
FILTER: An Enhanced Fusion Method for Cross-lingual Language UnderstandingCode1
From One to Many: Expanding the Scope of Toxicity Mitigation in Language ModelsCode1
Frustratingly Easy Label Projection for Cross-lingual TransferCode1
An Empirical Study on Cross-X Transfer for Legal Judgment PredictionCode1
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter MergingCode1
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-TrainingCode1
Composable Sparse Fine-Tuning for 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