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 321–330 of 782 papers

TitleStatusHype
Transfer-Free Data-Efficient Multilingual Slot Labeling—0
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning—0
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis—0
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual VerbalizerCode0
Is Translation Helpful? An Empirical Analysis of Cross-Lingual Transfer in Low-Resource Dialog Generation—0
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots—0
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast—0
Measuring Cross-Lingual Transferability of Multilingual Transformers on Sentence Classification—0
Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue GenerationCode0
A General-Purpose Multilingual Document EncoderCode0
Show:102550
← PrevPage 33 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