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

Showing 611620 of 782 papers

TitleStatusHype
Improving Low-Resource Cross-lingual Parsing with Expected Statistic RegularizationCode0
Improving the Cross-Lingual Generalisation in Visual Question AnsweringCode0
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust TrainingCode0
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related LanguagesCode0
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language ModelsCode0
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based AlignmentCode0
Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual TransferCode0
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot TransferCode0
Enhancing Cross-lingual Prompting with Dual Prompt AugmentationCode0
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual VerbalizerCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified