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 711–720 of 782 papers

TitleStatusHype
Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer—0
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency ParsingCode0
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
Low-resource named entity recognition via multi-source projection: Not quite there yet?—0
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
Multi-Source Cross-Lingual Model Transfer: Learning What to ShareCode0
Synthetic Data Made to Order: The Case of ParsingCode0
Zero-Resource Multilingual Model Transfer: Learning What to Share—0
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation—0
Show:102550
← PrevPage 72 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