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
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs—0
Cross-lingual Transfer Parsing for Low-Resourced Languages: An Irish Case Study—0
Cross-Lingual Transfer with Target Language-Ready Task Adapters—0
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis—0
Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian—0
Cross-lingual Transfer of Sentiment Classifiers—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Any-language frame-semantic parsing—0
Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity—0
Cross-lingual Transfer of Semantic Role Labeling Models—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