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 741–750 of 782 papers

TitleStatusHype
Multilingual Transfer Learning for QA Using Translation as Data Augmentation—0
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP—0
Multiple Captions Embellished Multilingual Multi-Modal Neural Machine Translation—0
Multi-Source Cross-Lingual Constituency Parsing—0
Multitask Learning for Cross-Lingual Transfer of Broad-coverage Semantic Dependencies—0
Multi-task Learning for Multilingual Neural Machine Translation—0
Multi-task pre-finetuning for zero-shot cross lingual transfer—0
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision—0
Multi-view Subword Regularization—0
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies—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