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

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Showing 331–340 of 782 papers

TitleStatusHype
Multilingual Transformer Encoders: a Word-Level Task-Agnostic EvaluationCode0
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems—0
Efficiently Adapting Pretrained Language Models To New Languages—0
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots—0
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models—0
Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian—0
A Survey of Multilingual Models for Automatic Speech Recognition—0
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models—0
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction—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