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 141–150 of 782 papers

TitleStatusHype
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles—0
Cross-Lingual Transfer with MAML on Trees—0
Cross-lingual Word Sense Disambiguation for Predicate Labelling of French—0
Composable Sparse Fine-Tuning for Cross-Lingual Transfer—0
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task—0
Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages—0
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model—0
Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features—0
Comparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model—0
Are All Languages Created Equal in Multilingual BERT?—0
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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