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 141150 of 782 papers

TitleStatusHype
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot TechniquesCode0
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic ParsingCode0
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word VectorsCode0
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood BankCode0
GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
Cloze Evaluation for Deeper Understanding of Commonsense Stories in IndonesianCode0
Applying Natural Annotation and Curriculum Learning to Named Entity Recognition for Under-Resourced LanguagesCode0
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingCode0
Aligning LLMs with Domain Invariant Reward ModelsCode0
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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