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 561–570 of 782 papers

TitleStatusHype
Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models—0
Language Contamination Helps Explain the Cross-lingual Capabilities of English Pretrained Models—0
Language-Family Adapters for Multilingual Neural Machine Translation—0
Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation—0
Language-independent Cross-lingual Contextual Representations—0
Language Scaling for Universal Suggested Replies Model—0
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual TransformersCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUDCode0
Fine-Grained Analysis of Cross-Linguistic Syntactic DivergencesCode0
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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