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 31–40 of 782 papers

TitleStatusHype
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing—0
Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMsCode1
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning—0
Multi-Agent Collaboration for Multilingual Code Instruction Tuning—0
Target Speaker Lipreading by Audio-Visual Self-Distillation Pretraining and Speaker Adaptation—0
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource LanguagesCode0
Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction—0
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter—0
Language Fusion for Parameter-Efficient Cross-lingual TransferCode0
Aligning LLMs with Domain Invariant Reward ModelsCode0
Show:102550
← PrevPage 4 of 79Next →

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