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

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Showing 351–375 of 782 papers

TitleStatusHype
FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled UnfreezingCode0
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?Code0
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training—0
On the Role of Parallel Data in Cross-lingual Transfer Learning—0
Cross-Lingual Retrieval Augmented Prompt for Low-Resource LanguagesCode0
Evaluating Byte and Wordpiece Level Models for Massively Multilingual Semantic Parsing—0
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset—0
Cross-lingual Similarity of Multilingual Representations RevisitedCode0
Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Word-Level Representation From Bytes For Language Modeling—0
Unified Question Answering in SloveneCode0
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
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
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
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
EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching—0
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
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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