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 171–180 of 782 papers

TitleStatusHype
Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection—0
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social MediaCode1
X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity—0
Learning Transfers over Several Programming Languages—0
A Multi-Modal Multilingual Benchmark for Document Image Classification—0
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language AdaptersCode0
Improving Cross-Lingual Transfer through Subtree-Aware Word ReorderingCode0
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual TransferCode0
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing TechniquesCode0
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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