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 101110 of 782 papers

TitleStatusHype
ScandEval: A Benchmark for Scandinavian Natural Language ProcessingCode1
SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and DialectsCode1
Machine-Created Universal Language for Cross-lingual TransferCode1
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-trainingCode1
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information RetrievalCode1
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation EvaluationCode1
The Multilingual Amazon Reviews CorpusCode1
Composable Sparse Fine-Tuning for Cross-Lingual TransferCode1
EENLP: Cross-lingual Eastern European NLP IndexCode1
XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationCode1
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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