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 51–60 of 782 papers

TitleStatusHype
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 LanguagesCode0
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs—0
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch—0
Cross-lingual Transfer of Reward Models in Multilingual AlignmentCode0
Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models—0
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR—0
Scaling Laws for Multilingual Language Models—0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
Table Question Answering for Low-resourced Indic LanguagesCode0
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models—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