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
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise—0
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching—0
INDICXNLI: A Dataset for Studying NLI in Indic Languages—0
Interactive Error Resolution Strategies for Speech-to-Speech Translation Systems—0
Inverted indexing for cross-lingual NLP—0
Investigating Lexical Sharing in Multilingual Machine Translation for Indian Languages—0
Investigating Multilingual NMT Representations at Scale—0
Investigating the Effect of Parallel Data in the Cross-Lingual Transfer for Vision-Language Encoders—0
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition—0
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP—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