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 251–275 of 782 papers

TitleStatusHype
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
Efficiently Adapting Pretrained Language Models To New Languages—0
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems—0
GCDH@LT-EDI-EACL2021: XLM-RoBERTa for Hope Speech Detection in English, Malayalam, and Tamil—0
Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Generalization Measures for Zero-Shot Cross-Lingual Transfer—0
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings—0
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter—0
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator—0
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank—0
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER—0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance—0
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Cross-lingual Structure Transfer for Zero-resource Event Extraction—0
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning—0
Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing—0
Frustratingly Simple Regularization to Improve Zero-shot Cross-lingual Robustness—0
How to Adapt Your Pretrained Multilingual Model to 1600 Languages—0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge—0
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages—0
Bilingual Language Modeling, A transfer learning technique for Roman Urdu—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