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 281290 of 782 papers

TitleStatusHype
Zero-shot Cross-lingual Transfer without Parallel Corpus0
TRAM: Bridging Trust Regions and Sharpness Aware MinimizationCode0
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationCode0
Self-Augmentation Improves Zero-Shot Cross-Lingual TransferCode0
Contextual Label Projection for Cross-Lingual Structured PredictionCode0
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding0
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies0
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval0
Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity RecognitionCode0
NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian LanguagesCode0
Show:102550
← PrevPage 29 of 79Next →

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