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 341–350 of 782 papers

TitleStatusHype
Cross-Lingual Transfer Learning for Alzheimer's Detection From Spontaneous Speech—0
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer—0
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection—0
UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction—0
Cross-Lingual Transfer of Cognitive Processing ComplexityCode0
Multilingual Content Moderation: A Case Study on RedditCode0
Language-Aware Multilingual Machine Translation with Self-Supervised LearningCode0
Syntax and Domain Aware Model for Unsupervised Program Translation—0
Zero-shot cross-lingual transfer language selection using linguistic similarity—0
Efficient Language Model Training through Cross-Lingual and Progressive Transfer LearningCode0
Show:102550
← PrevPage 35 of 79Next →

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