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 541–550 of 782 papers

TitleStatusHype
Cross-Lingual Transfer with MAML on Trees—0
Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing—0
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
Meta-Learning with MAML on Trees—0
Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding TransformationCode0
Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data—0
RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning—0
Bilingual Language Modeling, A transfer learning technique for Roman Urdu—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