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 501–510 of 782 papers

TitleStatusHype
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge—0
Zero-Resource Multilingual Model Transfer: Learning What to Share—0
Zero-shot Cross-Language Transfer of Monolingual Entity Linking Models—0
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation—0
Zero-Shot Cross-Lingual Sentiment Classification under Distribution Shift: an Exploratory Study—0
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection—0
Zero-shot cross-lingual transfer in instruction tuning of large language models—0
Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing—0
Zero-shot Cross-lingual Transfer is Under-specified Optimization—0
Zero-shot Cross-lingual Transfer is Under-specified Optimization—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