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 451–460 of 782 papers

TitleStatusHype
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model—0
Transfer-based Enrichment of a Hungarian Named Entity Dataset—0
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies—0
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer—0
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank—0
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs—0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages—0
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
Adventures in Multilingual Parsing—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