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

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Showing 541–550 of 782 papers

TitleStatusHype
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer—0
Probing Multilingual Language Models for Discourse—0
MergeDistill: Merging Pre-trained Language Models using Distillation—0
Language Scaling for Universal Suggested Replies Model—0
How to Adapt Your Pretrained Multilingual Model to 1600 Languages—0
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual TransferCode0
Language Embeddings for Typology and Cross-lingual Transfer LearningCode0
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph—0
Towards More Equitable Question Answering Systems: How Much More Data Do You Need?Code0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
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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