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 231240 of 782 papers

TitleStatusHype
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector SpecializationCode0
Discovering Low-rank Subspaces for Language-agnostic Multilingual RepresentationsCode0
Distilling Efficient Language-Specific Models for Cross-Lingual TransferCode0
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance LanguagesCode0
Fine-Grained Analysis of Cross-Linguistic Syntactic DivergencesCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
Cross-Language Learning for Entity MatchingCode0
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of RegistersCode0
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and ChallengesCode0
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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