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

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Showing 161–170 of 782 papers

TitleStatusHype
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled UnfreezingCode0
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer PerformanceCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training AlignmentCode0
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingCode0
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data SelectionCode0
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTCode0
Cross-lingual Transfer for Speech Processing using Acoustic Language SimilarityCode0
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty EstimationCode0
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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