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 301–310 of 782 papers

TitleStatusHype
MECI: A Multilingual Dataset for Event Causality IdentificationCode0
Applying Natural Annotation and Curriculum Learning to Named Entity Recognition for Under-Resourced LanguagesCode0
Supervised Contrastive Learning for Cross-lingual Transfer Learning—0
Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation—0
Meta-Learning a Cross-lingual Manifold for Semantic ParsingCode0
An Empirical Study on Cross-X Transfer for Legal Judgment PredictionCode1
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning—0
Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models—0
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican—0
Improving the Cross-Lingual Generalisation in Visual Question AnsweringCode0
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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