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 521–530 of 782 papers

TitleStatusHype
From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing—0
Frustratingly Simple Regularization to Improve Zero-shot Cross-lingual Robustness—0
GCDH@LT-EDI-EACL2021: XLM-RoBERTa for Hope Speech Detection in English, Malayalam, and Tamil—0
Generalization Measures for Zero-Shot Cross-Lingual Transfer—0
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings—0
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training—0
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning—0
How Do Multilingual Encoders Learn Cross-lingual Representation?—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