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 461–470 of 782 papers

TitleStatusHype
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank—0
One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
On Cross-Lingual Retrieval with Multilingual Text EncodersCode0
Enhancing Cross-lingual Prompting with Two-level Augmentation—0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU—0
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer—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