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 291–300 of 782 papers

TitleStatusHype
Extending Multilingual BERT to Low-Resource Languages—0
Cross-lingual morphological inflection with explicit alignment—0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer—0
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation—0
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection—0
Cross-Lingual Language Model Meta-Pretraining—0
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
Exploring the Impact of Data Quantity on ASR in Extremely Low-resource Languages—0
How Do Multilingual Encoders Learn Cross-lingual Representation?—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