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 191200 of 782 papers

TitleStatusHype
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
Cross-Lingual Text Classification of Transliterated Hindi and MalayalamCode0
Fine-Grained Analysis of Cross-Linguistic Syntactic DivergencesCode0
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible ProjectionsCode0
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African LanguagesCode0
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingCode0
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic ParsingCode0
Few-shot News Recommendation via Cross-lingual TransferCode0
Cross-lingual Similarity of Multilingual Representations RevisitedCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
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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