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 311320 of 782 papers

TitleStatusHype
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual RetrievalCode1
Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource LanguageCode0
Few-shot News Recommendation via Cross-lingual TransferCode0
On the Usability of Transformers-based models for a French Question-Answering task0
Multilingual Transformer Encoders: a Word-Level Task-Agnostic EvaluationCode0
How Do Multilingual Encoders Learn Cross-lingual Representation?0
Zero-shot Cross-lingual Transfer is Under-specified Optimization0
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition0
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer0
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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