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 401–410 of 782 papers

TitleStatusHype
Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification—0
RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining—0
Revisiting Machine Translation for Cross-lingual Classification—0
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer—0
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs—0
Romanization-based Large-scale Adaptation of Multilingual Language Models—0
RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning—0
Rumour Detection via Zero-shot Cross-lingual Transfer Learning—0
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings—0
Scaling Laws for Multilingual Language Models—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