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 481–490 of 782 papers

TitleStatusHype
Transfer-based Enrichment of a Hungarian Named Entity Dataset—0
Multiple Captions Embellished Multilingual Multi-Modal Neural Machine Translation—0
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty EstimationCode0
Cross-Lingual Text Classification of Transliterated Hindi and MalayalamCode0
Compositional Generalization in Multilingual Semantic Parsing over WikidataCode1
EENLP: Cross-lingual Eastern European NLP IndexCode1
It’s All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense ReasoningCode1
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection—0
Evaluating morphological typology in zero-shot cross-lingual transfer—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