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 161–170 of 782 papers

TitleStatusHype
Cross-lingual Word Sense Disambiguation for Predicate Labelling of French—0
The (In)Effectiveness of Intermediate Task Training For Domain Adaptation and Cross-Lingual Transfer Learning—0
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer—0
Cross-Linguistic Transfer in Multilingual NLP: The Role of Language Families and Morphology—0
DaNE: A Named Entity Resource for Danish—0
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks—0
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Can Monolingual Pretrained Models Help Cross-Lingual Classification?—0
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?—0
An Empirical Study on Cross-Lingual and Cross-Domain Transfer for Legal Judgment Prediction—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