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 761–770 of 782 papers

TitleStatusHype
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings—0
On the Role of Parallel Data in Cross-lingual Transfer Learning—0
On the Universality of Deep Contextual Language Models—0
On the Usability of Transformers-based models for a French Question-Answering task—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition and Phoneme to Grapheme Translation—0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
Overcoming Vocabulary Constraints with Pixel-level Fallback—0
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR—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