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

Showing 251260 of 782 papers

TitleStatusHype
ScandEval: A Benchmark for Scandinavian Natural Language ProcessingCode1
Fine-Tuning BERT with Character-Level Noise for Zero-Shot Transfer to Dialects and Closely-Related Languages0
Cross-Lingual Transfer Learning for Alzheimer's Detection From Spontaneous Speech0
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection0
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer0
Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOMCode1
UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction0
Cross-Lingual Transfer of Cognitive Processing ComplexityCode0
Multilingual Content Moderation: A Case Study on RedditCode0
Language-Aware Multilingual Machine Translation with Self-Supervised LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified