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

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Showing 381–390 of 782 papers

TitleStatusHype
Supervised Contrastive Learning for Cross-lingual Transfer Learning—0
SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity RecognitionCode0
Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence LabelingCode0
Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation—0
Meta-Learning a Cross-lingual Manifold for Semantic ParsingCode0
Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models—0
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning—0
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican—0
Improving the Cross-Lingual Generalisation in Visual Question AnsweringCode0
Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource LanguageCode0
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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