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

Showing 141150 of 782 papers

TitleStatusHype
LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data AugmentationCode1
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?0
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning DatasetCode1
Soft Prompt Tuning for Cross-Lingual Transfer: When Less is MoreCode0
Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation0
Constrained Decoding for Cross-lingual Label ProjectionCode0
Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual LearningCode0
The Impact of Language Adapters in Cross-Lingual Transfer for NLUCode0
Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching0
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling TasksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified