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 251–260 of 782 papers

TitleStatusHype
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
Efficiently Adapting Pretrained Language Models To New Languages—0
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems—0
Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter—0
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator—0
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank—0
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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