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 501–510 of 782 papers

TitleStatusHype
Zero-shot Cross-lingual Transfer is Under-specified Optimization—0
xGQA: Cross-Lingual Visual Question Answering—0
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi—0
Zero-shot Cross-Language Transfer of Monolingual Entity Linking Models—0
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models—0
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source DataCode0
Cross-Language Learning for Entity MatchingCode0
Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0—0
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings—0
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning—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