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 221230 of 782 papers

TitleStatusHype
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer0
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance0
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability AssessmentCode1
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language ModelsCode1
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African LanguagesCode1
Detecting and Mitigating Hallucinations in Multilingual SummarisationCode0
Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer0
Translation and Fusion Improves Zero-shot Cross-lingual Information ExtractionCode0
Revisiting Machine Translation for Cross-lingual Classification0
Revisiting Acceptability JudgementsCode0
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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