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 371–380 of 782 papers

TitleStatusHype
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data—0
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks—0
Data-adaptive Transfer Learning for Low-resource Translation: A Case Study in Haitian—0
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican—0
Composable Sparse Fine-Tuning for Cross-Lingual Transfer—0
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning—0
DaNE: A Named Entity Resource for Danish—0
Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages—0
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task—0
Multilingual Speech Translation with Efficient Finetuning of Pretrained 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