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 131–140 of 782 papers

TitleStatusHype
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
Overcoming Vocabulary Constraints with Pixel-level Fallback—0
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation—0
JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human Self-Destructive Behavior Content in Jirai Community—0
Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning—0
Untangling the Influence of Typology, Data and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging—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