Computer Science, Computer Vision and Pattern Recognition
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, Machine Learning
Wang et al.’s Empirical Study Reveals Decentralization Challenges in DAOs
Computation and Language, Computer Science
Cross-Domain Hate Speech Detection: A Multitask Learning Approach
Improving Public Trust in Autonomous Vehicles through Real-Time Data Analytics
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Semi-supervised Classification with Graph Convolutional Networks
Computer Science, Computer Vision and Pattern Recognition
Personalizing Text-to-Image Synthesis with Image-Based Inversion
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Advancements in Vision and Language Research Driven by Large Language Models
Computer Science, Computer Vision and Pattern Recognition
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Compressed Event-Triggered Distributed NE Seeking Algorithm: Efficient Communication and Computation
Electrical Engineering and Systems Science, Image and Video Processing
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Deep Learning for Multi-Modal Perception: NeRF-Supervised Masked Autoencoder
Electrical Engineering and Systems Science, Systems and Control
Comparative Analysis of Grid-Forming Control Techniques for Renewable Energy Sources
Electrical Engineering and Systems Science, Systems and Control
Analyzing the Relationship Between Time and Current in an Electrical Motor
Gradient Flow Algorithm for Threshold-Type Systems
Computer Science, Computer Vision and Pattern Recognition
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Meta Learning for Continual Reinforcement Learning: A Comprehensive Review
Leveraging Normal Data for Anomaly Detection in Accelerators
Quantum Circuit Complexity: Exploring Lower Bounds and Approximation
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Reasoning and Ambiguity in Neural Networks
Biomolecules, Quantitative Biology