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 461–470 of 782 papers

TitleStatusHype
Universal Recurrent Neural Network Grammar—0
Learning Invariant Representations on Multilingual Language Models for Unsupervised Cross-Lingual Transfer—0
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU ModelsCode0
Cross-lingual Intermediate Fine-tuning improves Dialogue State TrackingCode0
Visually Grounded Reasoning across Languages and CulturesCode1
Rumour Detection via Zero-shot Cross-lingual Transfer Learning—0
Simple and Effective Zero-shot Cross-lingual Phoneme RecognitionCode0
Cross-Lingual Language Model Meta-Pretraining—0
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction—0
Cross-lingual Transfer of Monolingual 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