Computer Science, Programming Languages
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, Cryptography and Security
Improved URL Classification with Enhanced Noise Handling: A Comparative Study
Detecting Differences in Causal Graphs Under Interventions: A Comparative Study
Computer Science, Information Retrieval
Improving Robustness against Obfuscated Attacks in Recommender Systems
Computation and Language, Computer Science
Automating Document Classification with Summarization-based Data Augmentation
Computer Science, Machine Learning
Deep Neural Networks for Math Formula Translation to LaTeX
Computer Science, Networking and Internet Architecture
Combining Preprocessing Approaches to Boost SR Performance
Computer Science, Cryptography and Security
Understanding the ‘Privacy Paradox’ in Online Data Sharing: A Study of User Concerns and Behavior
Computer Science, Computer Science and Game Theory
Combinatorial Auctions with Submodular Valuations: No Ascending Auction Can Find Equilibrium
Computation and Language, Computer Science
Improving Translation Quality Estimation with Fine-Tuned BERT
Electrical Engineering and Systems Science, Systems and Control
Accurate Simulation-Based Performance Evaluation of a Manufacturing System Under Various Scenarios
Electrical Engineering and Systems Science, Image and Video Processing
Automatic Diagnosis of Fundus Lesions Using Morphological Operations and Thresholding
Computer Science, Computer Vision and Pattern Recognition
Enhancing Semantic Segmentations through Mask Design
Computer Science, Computer Vision and Pattern Recognition
Enhancing Annotation Efficiency for Autonomous Driving with Semi-Automatic Functionalities
Computer Science, Computers and Society
Counterfactual Reasoning in Vision, Language, and Recommendation Systems
Electrical Engineering and Systems Science, Signal Processing
AI-Powered Semantic Communications: A Promising Future for Efficient Data Reconstruction
Computer Science, Computer Vision and Pattern Recognition
Improved Formulation for Separable Feature Space in Deep Learning
Computer Science, Computers and Society
Clustering Students’ Academic Performance Using Fuzzy Logic
Computation and Language, Computer Science
Machine Translation Evaluation: A Comparative Study of Different Methods
Mathematics, Numerical Analysis