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 531540 of 782 papers

TitleStatusHype
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?0
How to Adapt Your Pretrained Multilingual Model to 1600 Languages0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer0
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing0
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation0
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures0
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation0
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph0
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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