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 381–390 of 782 papers

TitleStatusHype
CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language UnderstandingCode0
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum LearningCode0
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument ExtractionCode1
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related LanguagesCode0
Multi-Level Contrastive Learning for Cross-Lingual Alignment—0
A Survey of Multilingual Models for Automatic Speech Recognition—0
The Reality of Multi-Lingual Machine Translation—0
Oolong: Investigating What Makes Transfer Learning Hard with Controlled StudiesCode0
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual PromptCode1
Enhancing Cross-lingual Prompting with Dual Prompt AugmentationCode0
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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