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 191–200 of 782 papers

TitleStatusHype
Cross-lingual Approaches for Task-specific Dialogue Act Recognition—0
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding—0
Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features—0
Cross-Lingual Transfer of Cultural Knowledge: An Asymmetric Phenomenon—0
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment—0
Cross-lingual Transfer of Monolingual Models—0
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation—0
Cross-Lingual Transfer Learning for Complex Word Identification—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—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