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 411–420 of 782 papers

TitleStatusHype
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language modelsCode1
Multi-task pre-finetuning for zero-shot cross lingual transfer—0
Multi-Source Cross-Lingual Constituency Parsing—0
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer ModelsCode0
INDICXNLI: A Dataset for Studying NLI in Indic Languages—0
Language-Family Adapters for Multilingual Neural Machine Translation—0
Data-adaptive Transfer Learning for Low-resource Translation: A Case Study in Haitian—0
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning—0
Composable Sparse Fine-Tuning for Cross-Lingual Transfer—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