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

Showing 2130 of 782 papers

TitleStatusHype
Code-Mixing on Sesame Street: Dawn of the Adversarial PolyglotsCode1
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information RetrievalCode1
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter MergingCode1
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue ModelingCode1
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-trainingCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
EENLP: Cross-lingual Eastern European NLP IndexCode1
Allophant: Cross-lingual Phoneme Recognition with Articulatory AttributesCode1
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Cross-Lingual Natural Language Generation via Pre-TrainingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified