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 181190 of 782 papers

TitleStatusHype
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual TransferCode0
Zero-shot Cross-lingual Transfer without Parallel Corpus0
TRAM: Bridging Trust Regions and Sharpness Aware MinimizationCode0
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationCode0
Self-Augmentation Improves Zero-Shot Cross-Lingual TransferCode0
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding0
Contextual Label Projection for Cross-Lingual Structured PredictionCode0
SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and DialectsCode1
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies0
Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity RecognitionCode0
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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