Computation and Language, Computer Science
Tag: fine-tuning
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Computer Science, Distributed, Parallel, and Cluster Computing
AI-Generated Content in Limbo: The Impending Exhaustion of High-Quality Language Data
Computer Science, Computer Vision and Pattern Recognition
Enhancing Targeted Transferability of Simple Iterative Attacks via Feature-Space Modification
Computer Science, Computer Vision and Pattern Recognition
Self-Rectification of Texture Generation Using Cross Attention Control
Enhancing Speech Emotion Recognition with Pretrained Models
Computer Science, Machine Learning
Fine-Tuning Language Models with Preference Learning: A Comprehensive Review
Computer Science, Distributed, Parallel, and Cluster Computing
Unlocking Efficient Machine Learning Models for Real-Time Applications
Computer Science, Software Engineering
Unlocking AI-Powered Code Generation: A Comprehensive Guide
Computer Science, Machine Learning
Machine Unlearning: A New Frontier in Selective Forgetting
Computer Science, Computer Vision and Pattern Recognition
Elegant and Effective Subject-Driven Text-to-Image Generation
Fine-Tuning Large Language Models for Domain-Specific Tasks: A Comparative Study
Computation and Language, Computer Science
Semantic-Oriented Unlabeled Priming for Large-Scale Knowledge Editing
Time-Contrastive Networks: Self-Supervised Learning from Video
Computation and Language, Computer Science
Enhancing Machine Translation for Code-Switched Text with Language Models
Artificial Intelligence, Computer Science
AI-Generated Image Captions Outperform Human-Generated Ones
Artificial Intelligence, Computer Science
Designing Sophisticated Urban Intelligence with Large Language Models
Computer Science, Machine Learning
Ensuring Ethical and Harmless Language Models Through Distributed Training
Computer Science, Machine Learning
Efficient Fine-tuning of Pre-trained Models with SIFT
Computation and Language, Computer Science
Transformers Efficient and Affordable: Learned Token Pruning, Quantization, and Distillation
Artificial Intelligence, Computer Science