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 511–520 of 782 papers

TitleStatusHype
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer PerformanceCode0
Universal Recurrent Neural Network Grammar—0
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU ModelsCode0
Learning Invariant Representations on Multilingual Language Models for Unsupervised Cross-Lingual Transfer—0
Cross-lingual Intermediate Fine-tuning improves Dialogue State TrackingCode0
Rumour Detection via Zero-shot Cross-lingual Transfer Learning—0
Cross-Lingual Language Model Meta-Pretraining—0
Simple and Effective Zero-shot Cross-lingual Phoneme RecognitionCode0
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction—0
On the Universality of Deep Contextual Language Models—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