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 151–160 of 782 papers

TitleStatusHype
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms—0
Cross-lingual Transfer Learning for Javanese Dependency Parsing—0
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and ChallengesCode0
Discovering Low-rank Subspaces for Language-agnostic Multilingual RepresentationsCode0
Multilingual Instruction Tuning With Just a Pinch of Multilinguality—0
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?Code1
Soft Alignment of Modality Space for End-to-end Speech Translation—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition and Phoneme to Grapheme Translation—0
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token EmbeddingsCode0
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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