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 621–630 of 782 papers

TitleStatusHype
Evaluating Byte and Wordpiece Level Models for Massively Multilingual Semantic Parsing—0
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—0
Evaluating morphological typology in zero-shot cross-lingual transfer—0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—0
Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis—0
Exploring Benefits of Transfer Learning in Neural Machine Translation—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models—0
Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification—0
Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models—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