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, Social and Information Networks
Combining Community Detection and Graph Neural Networks for Link Prediction in Scientific Literature
Computer Science, Machine Learning
Sparse Bayesian Learning Algorithms Unified with Majorization-Minimization Framework for Electromagnetic Brain Imaging
Artificial Intelligence, Computer Science
A Comparative Review of Technology Forecasting Methods in Web of Science and Google Scholar
Computer Science, Computer Vision and Pattern Recognition
OptFlow: Real-time Scene Flow Estimation with State-of-the-art Results
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Fairness in Machine Learning Algorithms: A Survey of Recent Approaches and Challenges
Investigating Zero Divisor Graphs of Commutative Rings: A New Approach
Computational Engineering, Finance, and Science, Computer Science
Error Reduction in Monte Carlo Simulations: A Comprehensive Study
Independent Domination Polynomial of Zero-Divisor Graphs of Rings
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Tightening the Upper Bound: Efficient Test-Time Adaptation Without Forgetting
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Optimal Hashing-Based Time-Space Trade-Offs for Approximate Near Neighbors
60x Speedups with Selective Indexing for Netflow Data
Quantitative Biology, Tissues and Organs
Comparing Performance of Transgenic and Control Data in Machine Learning Modeling
Electrical Engineering and Systems Science, Image and Video Processing
Uncovering Adversarial Vulnerabilities in Medical AI Models
Efficient Assessment of Student Music Performances Using Deep Neural Networks
Computer Science, Cryptography and Security
TitanCFI: A Lightweight and Efficient Solution for Control Flow Integrity
Computer Science, Programming Languages
Generating Hardware with Parametric HDLs: Challenges and Solutions
Computer Science, Social and Information Networks
“Transforming First-Person Perspectives: Experimenting with Different Summarization Techniques
Computer Science, Machine Learning
Improved Continual Imitation Learning via Generative and Prediction Models
Computer Science, Digital Libraries