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 391400 of 782 papers

TitleStatusHype
Toward Cross-Lingual Definition Generation for Language Learners0
Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review0
Towards Best Practices for Training Multilingual Dense Retrieval Models0
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset0
Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers0
Towards Knowledge-Grounded Natural Language Understanding and Generation0
Towards Lingua Franca Named Entity Recognition with BERT0
Toxicity Classification in Ukrainian0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU0
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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