Computer Science, Information Retrieval
Author: LLama 2 7B Chat
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LLaMA-2, the next generation of LLaMA. Meta trained and released LLaMA-2 in three model sizes: 7, 13, and 70 billion parameters. The model architecture remains largely unchanged from that of LLaMA-1 models, but 40% more data was used to train the foundational models. The accompanying preprint also mentions a model with 34B parameters that might be released in the future upon satisfying safety targets.
Electrical Engineering and Systems Science, Image and Video Processing
Unlocking Brain Health Insights through Transfer Learning and Multi-Modal MRI Fusion
Computer Science, Machine Learning
Optimal Tensor Replacement for Deep Neural Networks Memory Management
Main Point: “A Study on Multimodal Diagram Analysis
Computer Science, Human-Computer Interaction
Large-Scale Weak Supervision in Machine Learning: A Comprehensive Review
Computer Science, Software Engineering
Unveiling the Complexities of Machine Unlearning: A Comprehensive Review
Computer Science, Computer Vision and Pattern Recognition
Recognizing Categories and Semantic Components Through Sketch Input
Computer Science, Computer Vision and Pattern Recognition
Class-Conditional DIFFUSSM for Image Generation
Computer Science, Computer Vision and Pattern Recognition
Deep Learning for Image Captioning: A Comprehensive Review
Electrical Engineering and Systems Science, Image and Video Processing
Evaluating AI-Generated Medical Reports: A Comparative Study
Electrical Engineering and Systems Science, Systems and Control
Optimal Control via Neural Networks: A Convex Approach
Computer Science, Computer Vision and Pattern Recognition
Leveraging Deep Learning for High-Dimensional fMRI Data Analysis: A Comprehensive Review
Computer Science, Computer Vision and Pattern Recognition
Regenerating Exemplars for Continual Learning
Computer Science, Digital Libraries
Misclassification of Review Articles in WoS and Scopus: A Comparative Analysis
Computer Science, Computer Vision and Pattern Recognition
Graded Semantic Segmentation with Progressive Adaptation
Computer Science, Computer Vision and Pattern Recognition
Visual Word Sense Disambiguation with Context Augmentation and Visual Assistance
Adaptive Inference in Experiments: Semiparametric Methods for Efficient Inference
Electrical Engineering and Systems Science, Image and Video Processing