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

Showing 691700 of 782 papers

TitleStatusHype
Automatic Extraction of Rules Governing Morphological AgreementCode0
Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled ManipulationsCode0
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer LearningCode0
Cross-lingual Transfer of Reward Models in Multilingual AlignmentCode0
Towards More Equitable Question Answering Systems: How Much More Data Do You Need?Code0
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionCode0
Cross-lingual transfer of multilingual models on low resource African LanguagesCode0
Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMsCode0
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive InvestigationCode0
Second Language Acquisition of Neural Language ModelsCode0
Show:102550
← PrevPage 70 of 79Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified