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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 351–360 of 782 papers

TitleStatusHype
FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled UnfreezingCode0
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?Code0
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training—0
On the Role of Parallel Data in Cross-lingual Transfer Learning—0
Cross-Lingual Retrieval Augmented Prompt for Low-Resource LanguagesCode0
Evaluating Byte and Wordpiece Level Models for Massively Multilingual Semantic Parsing—0
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset—0
Cross-lingual Similarity of Multilingual Representations RevisitedCode0
Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—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