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 326–350 of 782 papers

TitleStatusHype
Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification—0
Transfer Language Selection for Zero-Shot Cross-Lingual Abusive Language Detection—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Investigating the Quality of Static Anchor Embeddings from Transformers for Under-Resourced LanguagesCode0
Quality versus Quantity: Building Catalan-English MT Resources—0
Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity LinkingCode0
NerKor+Cars-OntoNotes++Code0
WiC-TSV-de: German Word-in-Context Target-Sense-Verification Dataset and Cross-Lingual Transfer Analysis—0
Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection)—0
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-trainingCode1
Auxiliary Subword Segmentations as Related Languages for Low Resource Multilingual Translation—0
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis—0
Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning—0
Discovering Language-neutral Sub-networks in Multilingual Language ModelsCode0
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual GenerationCode2
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models—0
The Importance of Being Parameters: An Intra-Distillation Method for Serious GainsCode1
Local Byte Fusion for Neural Machine TranslationCode0
The Geometry of Multilingual Language Model RepresentationsCode1
Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for MalteseCode1
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented DialogCode0
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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