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 481–490 of 782 papers

TitleStatusHype
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT—0
A Survey Of Cross-lingual Word Embedding Models—0
A Survey of Multilingual Models for Automatic Speech Recognition—0
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs—0
Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations—0
Auxiliary Subword Segmentations as Related Languages for Low Resource Multilingual Translation—0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding—0
BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer—0
Bailong: Bilingual Transfer Learning based on QLoRA and Zip-tie Embedding—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