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 411–420 of 782 papers

TitleStatusHype
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity LinkingCode0
Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection)—0
Quality versus Quantity: Building Catalan-English MT Resources—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis—0
Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning—0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
Discovering Language-neutral Sub-networks in Multilingual Language ModelsCode0
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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