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 261–270 of 782 papers

TitleStatusHype
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank—0
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER—0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance—0
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models—0
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis—0
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages—0
Cross-lingual Structure Transfer for Zero-resource Event Extraction—0
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning—0
FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection—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