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 141–150 of 782 papers

TitleStatusHype
Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer—0
Florenz: Scaling Laws for Systematic Generalization in Vision-Language Models—0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding—0
Comparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model—0
Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMsCode0
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing—0
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning—0
Multi-Agent Collaboration for Multilingual Code Instruction Tuning—0
Target Speaker Lipreading by Audio-Visual Self-Distillation Pretraining and Speaker Adaptation—0
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource LanguagesCode0
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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