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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 381–390 of 782 papers

TitleStatusHype
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis—0
Cross lingual transfer learning for zero-resource domain adaptation—0
BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer—0
Cross-Lingual Dependency Parsing via Self-Training—0
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
Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features—0
Language-Family Adapters for Multilingual Neural Machine Translation—0
Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation—0
Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project—0
Show:102550
← PrevPage 39 of 79Next →

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