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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 121–130 of 782 papers

TitleStatusHype
A Survey Of Cross-lingual Word Embedding Models—0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
A Survey of Multilingual Models for Automatic Speech Recognition—0
Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian—0
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems—0
Cross-Lingual Transfer Learning for Statistical Type Inference—0
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
Cross-lingual Transfer Learning for Pre-trained Contextualized Language Models—0
Show:102550
← PrevPage 13 of 79Next →

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