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 441–450 of 782 papers

TitleStatusHype
Limitations of Knowledge Distillation for Zero-shot Transfer Learning—0
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual TransferCode1
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
xGQA: Cross-Lingual Visual Question Answering—0
Zero-shot Cross-lingual Transfer is Under-specified Optimization—0
Cross-lingual Constituency Parsing with Linguistic Typology Knowledge—0
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models—0
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi—0
Zero-shot Cross-Language Transfer of Monolingual Entity Linking Models—0
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine TranslationCode1
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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