Mathematics, Numerical Analysis
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.
Computer Science, Computer Vision and Pattern Recognition
Object Filtering and Backdoor Induction in Text-to-Image Synthesis
Computer Science, Programming Languages
Combining Language-Specific and Language-Generic Program Reduction Techniques
Computer Science, Computer Vision and Pattern Recognition
Enhancing Data Efficiency in Monocular Depth Estimation with Scene Adaptation and Adapters
Computer Science, Machine Learning
Experimental Evaluation of Graph Neural Networks for Dynamic Network Embeddings
Computer Science, Computer Vision and Pattern Recognition
Revolutionizing Point Cloud Processing: A Comparative Study of State-of-the-Art Methods
Integrating Digital Twin and Virtual Reality in Robotics Systems
Computer Science, Computer Vision and Pattern Recognition
Machine Learning Models for Traffic Prediction and Control
Computer Science, Machine Learning
Interpretable ML Explanations: A Framework for Personal or Classroom Use
Nano-Drones’ Collision Avoidance Method Tested in Various Environments
Computer Science, Computer Vision and Pattern Recognition
Benchmarking Video Models with Perception Test: First Challenge Outcome
Computer Science, Computer Vision and Pattern Recognition
Unlocking High-Fidelity 3D Face Reconstruction with Deep Learning
Computer Science, Distributed, Parallel, and Cluster Computing
Automated MPI Code Generation for Scalable Finite-Difference Solvers
Computation and Language, Computer Science
AI-Generated Content Labeling in Political Communication: A Comprehensive Review
Computer Science, Computer Vision and Pattern Recognition
Generalized Zero-Shot Learning: A Comprehensive Review
Computer Science, Computer Vision and Pattern Recognition
Neural Radiance Fields for Real-Time Novel-View Synthesis
Computation and Language, Computer Science
Accuracy and Dependability of Radiology Reports: Identifying and Rectifying Errors in Generative Models
Computer Science, Computer Vision and Pattern Recognition
Deep Learning for Trajectory Prediction: A Comparative Study
Computer Science, Software Engineering
Detecting Toxicity in Open Source Communication: A Machine Learning Approach
Computer Science, Distributed, Parallel, and Cluster Computing