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 441–450 of 782 papers

TitleStatusHype
Zero-Shot Cross-Lingual Sentiment Classification under Distribution Shift: an Exploratory Study—0
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection—0
Zero-shot cross-lingual transfer in instruction tuning of large language models—0
Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing—0
Zero-shot Cross-lingual Transfer is Under-specified Optimization—0
Zero-shot Cross-lingual Transfer is Under-specified Optimization—0
Zero-shot cross-lingual transfer language selection using linguistic similarity—0
Zero-shot Cross-lingual Transfer Learning with Multiple Source and Target Languages for Information Extraction: Language Selection and Adversarial Training—0
Zero-shot Cross-lingual Transfer without Parallel Corpus—0
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning—0
Show:102550
← PrevPage 45 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