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 311–320 of 782 papers

TitleStatusHype
Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review—0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer—0
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance—0
Meta-learning For Vision-and-language Cross-lingual Transfer—0
Detecting and Mitigating Hallucinations in Multilingual SummarisationCode0
Revisiting Acceptability JudgementsCode0
Translation and Fusion Improves Zero-shot Cross-lingual Information ExtractionCode0
Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer—0
Revisiting Machine Translation for Cross-lingual Classification—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