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 761770 of 782 papers

TitleStatusHype
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language ModelsCode0
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial LabelsCode0
Multilingual Transformer Encoders: a Word-Level Task-Agnostic EvaluationCode0
Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language ModelsCode0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual TasksCode0
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training AlignmentCode0
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood BankCode0
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource LanguagesCode0
Unified Question Answering in SloveneCode0
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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