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 751–760 of 782 papers

TitleStatusHype
Negation Scope Resolution for Chinese as a Second Language—0
Neural Cross-Lingual Event Detection with Minimal Parallel Resources—0
Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer—0
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion—0
One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization—0
On the ability of monolingual models to learn language-agnostic representations—0
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling—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