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 121–130 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
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code GeneratorsCode1
From One to Many: Expanding the Scope of Toxicity Mitigation in Language ModelsCode1
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
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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