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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–360 of 782 papers

TitleStatusHype
Cross-Lingual Transfer Learning for Statistical Type Inference—0
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?—0
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems—0
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer—0
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models—0
Development of a Bengali parser by cross-lingual transfer from Hindi—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