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 121–130 of 782 papers

TitleStatusHype
LLMs Are Globally Multilingual Yet Locally Monolingual: Exploring Knowledge Transfer via Language and Thought Theory—0
Limited-Resource Adapters Are Regularizers, Not Linguists—0
SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods—0
The Unreasonable Effectiveness of Model Merging for Cross-Lingual Transfer in LLMs—0
Semantic Pivots Enable Cross-Lingual Transfer in Large Language Models—0
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer—0
Cross-Lingual Optimization for Language Transfer in Large Language Models—0
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data—0
Cross-Linguistic Transfer in Multilingual NLP: The Role of Language Families and Morphology—0
Understanding Cross-Lingual Inconsistency in Large Language 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