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
On the Universality of Deep Contextual Language Models—0
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise—0
xGQA: Cross-Lingual Visual Question AnsweringCode1
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African LanguagesCode0
Efficient Test Time Adapter Ensembling for Low-resource Language VarietiesCode1
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual RepresentationsCode0
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
On the ability of monolingual models to learn language-agnostic representations—0
Similarity of Sentence Representations in Multilingual LMs: Resolving Conflicting Literature and Case Study of Baltic LanguagesCode0
MultiEURLEX -- A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transferCode1
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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