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 276–300 of 782 papers

TitleStatusHype
Unified Question Answering in SloveneCode0
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-trainingCode1
SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social MediaCode0
Speaking Multiple Languages Affects the Moral Bias of Language ModelsCode0
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No CostCode1
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
Crosslingual Generalization through Multitask FinetuningCode2
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks—0
Progressive Sentiment Analysis for Code-Switched Text DataCode0
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection ModelsCode0
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource SettingsCode2
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU—0
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionCode0
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language ModelsCode1
EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching—0
On the Calibration of Massively Multilingual Language ModelsCode1
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer LearningCode0
Improving Low-Resource Cross-lingual Parsing with Expected Statistic RegularizationCode0
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models—0
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models—0
Language Agnostic Multilingual Information Retrieval with Contrastive LearningCode0
The (In)Effectiveness of Intermediate Task Training For Domain Adaptation and Cross-Lingual Transfer Learning—0
SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity RecognitionCode0
Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence LabelingCode0
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?—0
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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