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 471–480 of 782 papers

TitleStatusHype
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast—0
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter—0
Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models—0
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks—0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages—0
An Empirical Study on Cross-Lingual and Cross-Domain Transfer for Legal Judgment Prediction—0
Any-language frame-semantic parsing—0
Are All Languages Created Equal in Multilingual BERT?—0
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task—0
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models—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