Computation and Language, Computer Science
Tag: pre-training
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Computer Science, Computer Vision and Pattern Recognition
Large-Scale Vision Models for Robust Image Recognition and Zero-Shot Classification
Computer Science, Distributed, Parallel, and Cluster Computing
Efficient Context Window Extension for Large Language Models
Computation and Language, Computer Science
Graph-Based Information Extraction for Document Understanding
Computation and Language, Computer Science
Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task.
Computer Science, Computer Vision and Pattern Recognition
Denoising ViTs: A Complete Study to Mitigate Persistent Noise Artifacts in Pre-trained Transformers
Computation and Language, Computer Science
Improving Summarization Factual Consistency with Natural Language Feedback
Computation and Language, Computer Science
Semantic-Oriented Unlabeled Priming for Large-Scale Knowledge Editing
Computation and Language, Computer Science
Accuracy and Dependability of Radiology Reports: Identifying and Rectifying Errors in Generative Models
Computation and Language, Computer Science
Transformers Efficient and Affordable: Learned Token Pruning, Quantization, and Distillation
Computation and Language, Computer Science
Improving Entity and Relation Understanding via Contrastive Learning
CHiME Speech Separation and Recognition Challenges: A Comprehensive Overview
Computation and Language, Computer Science
Improving Spoken Question Answering with Adversarial Domain Adaptation
Computer Science, Computer Vision and Pattern Recognition
Advances in Neural Information Processing Systems: Attention is All You Need
Computer Science, Computer Vision and Pattern Recognition
Deep Learning with Differential Privacy: A Comprehensive Survey
Computer Science, Computer Vision and Pattern Recognition
Hierarchical Vision Transformer for Efficient Ultra-High Resolution Segmentation
Computation and Language, Computer Science
Enhancing Intent Detection and Slot Filling with Multitask Learning
Computer Science, Computer Vision and Pattern Recognition
Unifying Latent and Mask Diffusion Models for Text-to-Image Synthesis
Computer Science, Machine Learning