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 8190 of 782 papers

TitleStatusHype
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity LinkingCode1
A cost-benefit analysis of cross-lingual transfer methodsCode1
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question AnsweringCode1
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual LearningCode1
Zero-Shot Cross-lingual Semantic ParsingCode1
XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Code-Mixing on Sesame Street: Dawn of the Adversarial PolyglotsCode1
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language ModelsCode1
Multi-view Subword RegularizationCode1
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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