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 571580 of 782 papers

TitleStatusHype
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 LanguagesCode0
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingCode0
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTCode0
On Cross-Lingual Retrieval with Multilingual Text EncodersCode0
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency ParsingCode0
Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity RecognitionCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual RelatednessCode0
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual TransferCode0
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)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified