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 121130 of 782 papers

TitleStatusHype
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingCode0
Cross-Language Learning for Entity MatchingCode0
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified FrameworkCode0
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTCode0
Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled ManipulationsCode0
Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUDCode0
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance LanguagesCode0
CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language UnderstandingCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Adaptive Cross-lingual Text Classification through In-Context One-Shot DemonstrationsCode0
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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