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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 711–720 of 782 papers

TitleStatusHype
Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning—0
MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging—0
Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation—0
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers—0
Measuring Cross-Lingual Transferability of Multilingual Transformers on Sentence Classification—0
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms—0
MergeDistill: Merging Pre-trained Language Models using Distillation—0
Meta-learning For Vision-and-language Cross-lingual Transfer—0
Meta-Learning with MAML on Trees—0
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation—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