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 601–610 of 782 papers

TitleStatusHype
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding—0
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval—0
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition—0
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction—0
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models—0
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots—0
Efficiently Adapting Pretrained Language Models To New Languages—0
Emerging Cross-lingual Structure in Pretrained Language Models—0
Emotion Classification in Low and Moderate Resource Languages—0
Empirical Gaussian priors for cross-lingual transfer learning—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