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 226–250 of 782 papers

TitleStatusHype
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector SpecializationCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency ParsingCode0
Detecting and Mitigating Hallucinations in Multilingual SummarisationCode0
Adaptive Cross-lingual Text Classification through In-Context One-Shot DemonstrationsCode0
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic ParsingCode0
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
Distilling Efficient Language-Specific Models for Cross-Lingual TransferCode0
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance LanguagesCode0
Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of RegistersCode0
Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled ManipulationsCode0
Cross-Language Learning for Entity MatchingCode0
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related LanguagesCode0
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and ChallengesCode0
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
Phylogeny-Inspired Adaptation of Multilingual Models to New LanguagesCode0
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with HanjaCode0
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual AlignmentCode0
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
Pre-Trained Language-Meaning Models for Multilingual Parsing and GenerationCode0
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language ModelsCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Fine-Grained Analysis of Cross-Linguistic Syntactic DivergencesCode0
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
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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