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 371–380 of 782 papers

TitleStatusHype
mGPT: Few-Shot Learners Go MultilingualCode2
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot TransferCode0
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-TuningCode1
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State TrackingCode0
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical TextsCode1
Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning—0
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual RetrievalCode0
Towards Best Practices for Training Multilingual Dense Retrieval Models—0
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading ComprehensionCode1
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and GenerationCode0
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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