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
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter—0
Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction—0
Language Fusion for Parameter-Efficient Cross-lingual TransferCode0
Aligning LLMs with Domain Invariant Reward ModelsCode0
On the Applicability of Zero-Shot Cross-Lingual Transfer Learning for Sentiment Classification in Distant Language PairsCode0
The First Multilingual Model For The Detection of Suicide Texts—0
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive InvestigationCode0
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance LanguagesCode0
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language ModelsCode0
Text Generation Models for Luxembourgish with Limited Data: A Balanced Multilingual Strategy—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