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 681690 of 782 papers

TitleStatusHype
Towards Fully Bilingual Deep Language ModelingCode0
Local Byte Fusion for Neural Machine TranslationCode0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
Chinese Opinion Role Labeling with Corpus Translation: A Pivot StudyCode0
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource LanguagesCode0
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector SpecializationCode0
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?Code0
What Drives Performance in Multilingual Language Models?Code0
NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian LanguagesCode0
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial DatasetsCode0
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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