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 151160 of 782 papers

TitleStatusHype
Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMsCode0
ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination DetectionCode0
GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation SpaceCode0
Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual TransferCode0
Language Fusion for Parameter-Efficient Cross-lingual TransferCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual RelatednessCode0
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU ModelsCode0
An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language ModelsCode0
Show:102550
← PrevPage 16 of 79Next →

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