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 321–330 of 782 papers

TitleStatusHype
Cross-lingual Structure Transfer for Zero-resource Event Extraction—0
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning—0
Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training—0
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning—0
How Do Multilingual Encoders Learn Cross-lingual Representation?—0
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?—0
How to Adapt Your Pretrained Multilingual Model to 1600 Languages—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—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