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 541–550 of 782 papers

TitleStatusHype
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER—0
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching—0
Cross-lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions—0
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog—0
Cross-lingual Transfer Learning for Grammatical Error Correction—0
Cross-Lingual Transfer Learning for Alzheimer's Detection From Spontaneous Speech—0
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
Show:102550
← PrevPage 55 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