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 731–740 of 782 papers

TitleStatusHype
Multilingual Clinical NER: Translation or Cross-lingual Transfer?—0
Multilingual Dialogue Generation with Shared-Private Memory—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction—0
Multilingual Instruction Tuning With Just a Pinch of Multilinguality—0
Multilinguality Does not Make Sense: Investigating Factors Behind Zero-Shot Transfer in Sense-Aware Tasks—0
Multilingual Multimodal Pretraining for Zero-Shot Cross-Lingual Transfer of Vision-Language Models—0
Multilingual Projection for Parsing Truly Low-Resource Languages—0
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification—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