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 581–590 of 782 papers

TitleStatusHype
XLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP—0
Cross-lingual Transfer Learning for Pre-trained Contextualized Language Models—0
UNKs Everywhere: Adapting Multilingual Language Models to New ScriptsCode0
Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank—0
Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of PolyglotismCode0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
Multilingual Transfer Learning for QA Using Translation as Data Augmentation—0
Cross-lingual Transfer of Abstractive Summarizer to Less-resource Language—0
Multilingual Multimodal Pretraining for Zero-Shot Cross-Lingual Transfer of Vision-Language Models—0
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—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