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 511–520 of 782 papers

TitleStatusHype
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph—0
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity LinkingCode1
Towards More Equitable Question Answering Systems: How Much More Data Do You Need?Code0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
The interplay between language similarity and script on a novel multi-layer Algerian dialect corpusCode0
A cost-benefit analysis of cross-lingual transfer methodsCode1
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models—0
Show:102550
← PrevPage 52 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