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 281–290 of 782 papers

TitleStatusHype
Analysis of Multi-Source Language Training in Cross-Lingual Transfer—0
Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning—0
Cross-Lingual Parser Selection for Low-Resource Languages—0
Bilingual Adaptation of Monolingual Foundation Models—0
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies—0
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?—0
Cross-Lingual Optimization for Language Transfer in Large Language Models—0
Generalization Measures for Zero-Shot Cross-Lingual Transfer—0
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings—0
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging—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