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

Showing 241250 of 782 papers

TitleStatusHype
Phylogeny-Inspired Adaptation of Multilingual Models to New LanguagesCode0
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with HanjaCode0
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual AlignmentCode0
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
Pre-Trained Language-Meaning Models for Multilingual Parsing and GenerationCode0
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language ModelsCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Fine-Grained Analysis of Cross-Linguistic Syntactic DivergencesCode0
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified