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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 631–640 of 782 papers

TitleStatusHype
Exploring the Impact of Data Quantity on ASR in Extremely Low-resource Languages—0
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection—0
Extending Multilingual BERT to Low-Resource Languages—0
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
Fine-Tuning BERT with Character-Level Noise for Zero-Shot Transfer to Dialects and Closely-Related Languages—0
Florenz: Scaling Laws for Systematic Generalization in Vision-Language Models—0
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages—0
FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection—0
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models—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