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 771780 of 782 papers

TitleStatusHype
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data SelectionCode0
Cross-lingual Annotation Projection in Legal TextsCode0
Synthetic Data Made to Order: The Case of ParsingCode0
T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text ClassificationCode0
Table Question Answering for Low-resourced Indic LanguagesCode0
NerKor+Cars-OntoNotes++Code0
UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role LabelingCode0
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in DanishCode0
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty EstimationCode0
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled DataCode0
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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