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 691–700 of 782 papers

TitleStatusHype
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning—0
Learning Invariant Representations on Multilingual Language Models for Unsupervised Cross-Lingual Transfer—0
Learning Monolingual Compositional Representations via Bilingual Supervision—0
Learning to Learn Morphological Inflection for Resource-Poor Languages—0
Learning Transfers over Several Programming Languages—0
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages—0
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding—0
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning—0
LexFit: Lexical Fine-Tuning of Pretrained Language Models—0
Limitations of Knowledge Distillation for Zero-shot 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