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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 76–100 of 782 papers

TitleStatusHype
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No CostCode1
Composable Sparse Fine-Tuning for Cross-Lingual TransferCode1
Inducing Language-Agnostic Multilingual RepresentationsCode1
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue ModelingCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense ReasoningCode1
It’s All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense ReasoningCode1
A cost-benefit analysis of cross-lingual transfer methodsCode1
Learning Compact Metrics for MTCode1
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural AdjustmentsCode1
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity LinkingCode1
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
EENLP: Cross-lingual Eastern European NLP IndexCode1
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and BeyondCode1
mCLIP: Multilingual CLIP via Cross-lingual TransferCode1
Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMsCode1
Finding Universal Grammatical Relations in Multilingual BERTCode1
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language InferenceCode1
Modelling Latent Translations for Cross-Lingual TransferCode1
Compositional Generalization in Multilingual Semantic Parsing over WikidataCode1
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument ExtractionCode1
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter MergingCode1
Choosing Transfer Languages for Cross-Lingual LearningCode1
Multi-view Subword RegularizationCode1
Unsupervised Cross-lingual Representation Learning at ScaleCode1
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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