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 271–280 of 782 papers

TitleStatusHype
How to Adapt Your Pretrained Multilingual Model to 1600 Languages—0
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation—0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Bilingual Language Modeling, A transfer learning technique for Roman Urdu—0
Cross-Lingual Relevance Transfer for Document Retrieval—0
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast—0
Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing—0
Cross-Lingual Relation Extraction with Transformers—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