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 1–10 of 782 papers

TitleStatusHype
Enhancing Cross-task Transfer of Large Language Models via Activation Steering—0
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training—0
Cross-Lingual Transfer of Cultural Knowledge: An Asymmetric Phenomenon—0
LLMs Are Globally Multilingual Yet Locally Monolingual: Exploring Knowledge Transfer via Language and Thought Theory—0
Speech-to-Text Translation with Phoneme-Augmented CoT: Enhancing Cross-Lingual Transfer in Low-Resource Scenarios—0
Limited-Resource Adapters Are Regularizers, Not Linguists—0
Multilinguality Does not Make Sense: Investigating Factors Behind Zero-Shot Transfer in Sense-Aware Tasks—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
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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