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 281290 of 782 papers

TitleStatusHype
Improving Cross-Lingual Transfer through Subtree-Aware Word ReorderingCode0
Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual TransferCode0
Enhancing Cross-lingual Transfer via Phonemic Transcription IntegrationCode0
Explicit Alignment Objectives for Multilingual Bidirectional EncodersCode0
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic ParsingCode0
Enhancing Cross-lingual Prompting with Dual Prompt AugmentationCode0
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual VerbalizerCode0
Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual TemplatesCode0
Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUDCode0
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTCode0
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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