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

Showing 621630 of 782 papers

TitleStatusHype
Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual TemplatesCode0
The Impact of Language Adapters in Cross-Lingual Transfer for NLUCode0
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual RetrievalCode0
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing TechniquesCode0
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal ResourcesCode0
Contextual Label Projection for Cross-Lingual Structured PredictionCode0
Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian ResourceCode0
Translation and Fusion Improves Zero-shot Cross-lingual Information ExtractionCode0
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
Investigating the Quality of Static Anchor Embeddings from Transformers for Under-Resourced LanguagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified