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 261–270 of 782 papers

TitleStatusHype
Syntax and Domain Aware Model for Unsupervised Program Translation—0
Zero-shot cross-lingual transfer language selection using linguistic similarity—0
Efficient Language Model Training through Cross-Lingual and Progressive Transfer LearningCode0
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
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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