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 341–350 of 782 papers

TitleStatusHype
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
Bailong: Bilingual Transfer Learning based on QLoRA and Zip-tie Embedding—0
Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis—0
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog—0
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph—0
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise—0
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching—0
Cross-Lingual Transfer Learning for Alzheimer's Detection From Spontaneous Speech—0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—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