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

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Showing 391–400 of 782 papers

TitleStatusHype
Frustratingly Simple Regularization to Improve Zero-shot Cross-lingual Robustness—0
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank—0
One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization—0
Surprisingly Simple Adapter Ensembling for Zero-Shot Cross-Lingual Sequence Tagging—0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
When More is not Necessary Better: Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection Models—0
BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer—0
Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification—0
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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