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 631640 of 782 papers

TitleStatusHype
EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language ModelsCode0
EkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian TwitterCode0
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-TuningCode0
The interplay between language similarity and script on a novel multi-layer Algerian dialect corpusCode0
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language UnderstandingCode0
Persian Natural Language Inference: A Meta-learning approachCode0
XL-WiC: A Multilingual Benchmark for Evaluating Semantic ContextualizationCode0
Efficient Language Model Training through Cross-Lingual and Progressive Transfer LearningCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Phylogeny-Inspired Adaptation of Multilingual Models to New LanguagesCode0
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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