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XLM-R

XLM-R

Papers

Showing 176200 of 221 papers

TitleStatusHype
How about Time? Probing a Multilingual Language Model for Temporal RelationsCode0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using TransformersCode0
IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda DetectionCode0
Exploring Alignment in Shared Cross-lingual SpacesCode0
Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary TasksCode0
Improving Cross-Lingual Transfer through Subtree-Aware Word ReorderingCode0
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust TrainingCode0
Explaining Classes through Stable Word AttributionsCode0
Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product ReviewsCode0
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text ProcessingCode0
A Bayesian Multilingual Document Model for Zero-shot Topic Identification and DiscoveryCode0
Distilling Efficient Language-Specific Models for Cross-Lingual TransferCode0
KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language ModelCode0
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language ModelsCode0
LangSAMP: Language-Script Aware Multilingual PretrainingCode0
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related LanguagesCode0
Combining Static and Contextualised Multilingual EmbeddingsCode0
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesCode0
Prix-LM: Pretraining for Multilingual Knowledge Base ConstructionCode0
Disfluency Detection for VietnameseCode0
Collateral facilitation in humans and language modelsCode0
Punctuation Restoration for Singaporean Spoken Languages: English, Malay, and MandarinCode0
QASiNa: Religious Domain Question Answering using Sirah NabawiyahCode0
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