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 5160 of 782 papers

TitleStatusHype
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-trainingCode1
It’s All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense ReasoningCode1
K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and SyllablesCode1
Learning Compact Metrics for MTCode1
Composable Sparse Fine-Tuning for Cross-Lingual TransferCode1
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social MediaCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information RetrievalCode1
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual RetrievalCode1
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-SwitchingCode1
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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