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 351–375 of 782 papers

TitleStatusHype
Phylogeny-Inspired Adaptation of Multilingual Models to New LanguagesCode0
Persian Natural Language Inference: A Meta-learning approachCode0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT—0
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood BankCode0
Enhancing Cross-lingual Transfer by Manifold MixupCode1
Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 LanguagesCode1
GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
Machine Translation for Livonian: Catering to 20 Speakers—0
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation—0
Cloze Evaluation for Deeper Understanding of Commonsense Stories in IndonesianCode0
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge—0
Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual TemplatesCode0
The Best of both Worlds: Dual Channel Language modeling for Hope Speech Detection in low-resourced Kannada—0
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual TransferCode0
IndicXNLI: Evaluating Multilingual Inference for Indian LanguagesCode1
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African Languages—0
Language Contamination Helps Explain the Cross-lingual Capabilities of English Pretrained Models—0
mGPT: Few-Shot Learners Go MultilingualCode2
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot TransferCode0
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-TuningCode1
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State TrackingCode0
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical TextsCode1
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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