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

Showing 751760 of 782 papers

TitleStatusHype
Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual LearningCode0
Cross-lingual Dependency Parsing Based on Distributed RepresentationsCode0
Speaking Multiple Languages Affects the Moral Bias of Language ModelsCode0
Multi-Source Cross-Lingual Model Transfer: Learning What to ShareCode0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic ParsingCode0
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!Code0
Applying Natural Annotation and Curriculum Learning to Named Entity Recognition for Under-Resourced LanguagesCode0
Massively Multilingual Transfer for NERCode0
ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified