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 631–640 of 782 papers

TitleStatusHype
XCOPA: A Multilingual Dataset for Causal Commonsense ReasoningCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual TransferCode2
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings—0
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies—0
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Extending Multilingual BERT to Low-Resource Languages—0
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages—0
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP—0
Learning to Learn Morphological Inflection for Resource-Poor 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