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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 331–340 of 782 papers

TitleStatusHype
Quality versus Quantity: Building Catalan-English MT Resources—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity LinkingCode0
WiC-TSV-de: German Word-in-Context Target-Sense-Verification Dataset and Cross-Lingual Transfer Analysis—0
NerKor+Cars-OntoNotes++Code0
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
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-trainingCode1
Auxiliary Subword Segmentations as Related Languages for Low Resource Multilingual Translation—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
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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