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 651–675 of 782 papers

TitleStatusHype
BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual TransferCode0
Language-Aware Multilingual Machine Translation with Self-Supervised LearningCode0
Aligning LLMs with Domain Invariant Reward ModelsCode0
Pre-Trained Language-Meaning Models for Multilingual Parsing and GenerationCode0
Language Embeddings for Typology and Cross-lingual Transfer LearningCode0
Constrained Decoding for Cross-lingual Label ProjectionCode0
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language AdaptersCode0
Language Fusion for Parameter-Efficient Cross-lingual TransferCode0
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State TrackingCode0
Progressive Sentiment Analysis for Code-Switched Text DataCode0
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer PerformanceCode0
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationCode0
Large Language Models Are Cross-Lingual Knowledge-Free ReasonersCode0
Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue GenerationCode0
Distilling Efficient Language-Specific Models for Cross-Lingual TransferCode0
Cloze Evaluation for Deeper Understanding of Commonsense Stories in IndonesianCode0
Discovering Low-rank Subspaces for Language-agnostic Multilingual RepresentationsCode0
Discovering Language-neutral Sub-networks in Multilingual Language ModelsCode0
XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning RepresentationsCode0
Pushing the Limits of Low-Resource Morphological InflectionCode0
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling TasksCode0
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual TransferCode0
How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?Code0
Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated TasksCode0
Detecting and Mitigating Hallucinations in Multilingual SummarisationCode0
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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