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 701–710 of 782 papers

TitleStatusHype
Limited-Resource Adapters Are Regularizers, Not Linguists—0
LLMs Are Globally Multilingual Yet Locally Monolingual: Exploring Knowledge Transfer via Language and Thought Theory—0
Low-resource named entity recognition via multi-source projection: Not quite there yet?—0
Low-Resource Syntactic Transfer with Unsupervised Source Reordering—0
How Many Languages Make Good Multilingual Instruction Tuning? A Case Study on BLOOM—0
Machine Translation for Livonian: Catering to 20 Speakers—0
MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer—0
Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0—0
MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness—0
Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages—0
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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