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 11–20 of 782 papers

TitleStatusHype
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer—0
Cross-Linguistic Transfer in Multilingual NLP: The Role of Language Families and Morphology—0
Cross-Lingual Optimization for Language Transfer in Large Language Models—0
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data—0
Understanding Cross-Lingual Inconsistency in Large Language Models—0
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer—0
The Devil Is in the Word Alignment Details: On Translation-Based Cross-Lingual Transfer for Token Classification TasksCode0
Investigating the Effect of Parallel Data in the Cross-Lingual Transfer for Vision-Language Encoders—0
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training—0
What Causes Knowledge Loss in Multilingual 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