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Masked Language Modeling

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Showing 151–175 of 475 papers

TitleStatusHype
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language ModelsCode1
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding—0
Adapting Learned Sparse Retrieval for Long DocumentsCode0
Rethinking Masked Language Modeling for Chinese Spelling CorrectionCode1
Honey, I Shrunk the Language: Language Model Behavior at Reduced ScaleCode0
An Investigation of Noise in Morphological InflectionCode0
Masked and Permuted Implicit Context Learning for Scene Text RecognitionCode0
Dynamic Masking Rate Schedules for MLM Pretraining—0
Self-Evolution Learning for Discriminative Language Model PretrainingCode0
Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger DetectionCode0
AxomiyaBERTa: A Phonologically-aware Transformer Model for AssameseCode0
Bidirectional Transformer Reranker for Grammatical Error CorrectionCode0
Extrapolating Multilingual Understanding Models as Multilingual Generators—0
Federated Learning of Medical Concepts Embedding using BEHRTCode0
A Pilot Study on Dialogue-Level Dependency Parsing for Chinese—0
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market DomainCode1
Patton: Language Model Pretraining on Text-Rich Networks—0
Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech ModelCode1
How does the task complexity of masked pretraining objectives affect downstream performance?Code0
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation LearningCode1
Pre-training Language Model as a Multi-perspective Course Learner—0
Mapping of attention mechanisms to a generalized Potts model—0
Unsupervised Improvement of Factual Knowledge in Language ModelsCode0
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document GenerationCode0
Joint unsupervised and supervised learning for context-aware language identification—0
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