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 591–600 of 782 papers

TitleStatusHype
Cross-Language Learning for Entity MatchingCode0
Enhancing Cross-lingual Transfer via Phonemic Transcription IntegrationCode0
Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding TransformationCode0
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance LanguagesCode0
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual TransferCode0
ThaiCoref: Thai Coreference Resolution DatasetCode0
Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of RegistersCode0
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language ModelsCode0
Oolong: Investigating What Makes Transfer Learning Hard with Controlled StudiesCode0
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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