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 441–450 of 782 papers

TitleStatusHype
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State TrackingCode0
Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning—0
Towards Best Practices for Training Multilingual Dense Retrieval Models—0
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual RetrievalCode0
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and GenerationCode0
CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language UnderstandingCode0
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum LearningCode0
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related LanguagesCode0
Multi-Level Contrastive Learning for Cross-Lingual Alignment—0
The Reality of Multi-Lingual Machine Translation—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