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 471–480 of 782 papers

TitleStatusHype
Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian—0
Multi-task pre-finetuning for zero-shot cross lingual transfer—0
Multi-Source Cross-Lingual Constituency Parsing—0
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer ModelsCode0
Composable Sparse Fine-Tuning for Cross-Lingual Transfer—0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
Language-Family Adapters for Multilingual Neural Machine Translation—0
Data-adaptive Transfer Learning for Low-resource Translation: A Case Study in Haitian—0
Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages—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