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 501–525 of 782 papers

TitleStatusHype
Zero-shot Cross-lingual Transfer is Under-specified Optimization—0
xGQA: Cross-Lingual Visual Question Answering—0
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi—0
Zero-shot Cross-Language Transfer of Monolingual Entity Linking Models—0
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models—0
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source DataCode0
Cross-Language Learning for Entity MatchingCode0
Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0—0
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings—0
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning—0
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer PerformanceCode0
Universal Recurrent Neural Network Grammar—0
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU ModelsCode0
Learning Invariant Representations on Multilingual Language Models for Unsupervised Cross-Lingual Transfer—0
Cross-lingual Intermediate Fine-tuning improves Dialogue State TrackingCode0
Rumour Detection via Zero-shot Cross-lingual Transfer Learning—0
Cross-Lingual Language Model Meta-Pretraining—0
Simple and Effective Zero-shot Cross-lingual Phoneme RecognitionCode0
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction—0
On the Universality of Deep Contextual Language Models—0
Cross-lingual Transfer of Monolingual Models—0
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise—0
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual RepresentationsCode0
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African LanguagesCode0
On the ability of monolingual models to learn language-agnostic representations—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