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 641650 of 782 papers

TitleStatusHype
A logical-based corpus for cross-lingual evaluationCode0
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual TransferCode0
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual AdaptationCode0
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual AlignmentCode0
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug ReactionsCode0
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with HanjaCode0
Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized LanguagesCode0
Language Agnostic Multilingual Information Retrieval with Contrastive LearningCode0
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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