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

Showing 111120 of 782 papers

TitleStatusHype
FILTER: An Enhanced Fusion Method for Cross-lingual Language UnderstandingCode1
Unsupervised Cross-lingual Representation Learning at ScaleCode1
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language modelsCode1
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual TransferCode1
Allophant: Cross-lingual Phoneme Recognition with Articulatory AttributesCode1
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual TransformersCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?Code0
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesCode0
Explicit Alignment Objectives for Multilingual Bidirectional EncodersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified