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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 231–240 of 782 papers

TitleStatusHype
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?—0
Towards Knowledge-Grounded Natural Language Understanding and Generation—0
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity—0
Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred KnowledgeCode0
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning—0
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
Emotion Classification in Low and Moderate Resource Languages—0
Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?Code0
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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