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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 491–500 of 782 papers

TitleStatusHype
Bilingual Adaptation of Monolingual Foundation Models—0
Bilingual Language Modeling, A transfer learning technique for Roman Urdu—0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning—0
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance—0
Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer—0
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering—0
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation—0
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer—0
Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer—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