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 6170 of 782 papers

TitleStatusHype
Modelling Latent Translations for Cross-Lingual TransferCode1
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language ModelsCode1
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural AdjustmentsCode1
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-trainingCode1
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
EENLP: Cross-lingual Eastern European NLP IndexCode1
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue ModelingCode1
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Few-shot Learning with Multilingual Language ModelsCode1
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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