Computer Science, Multiagent Systems
Author: LLama 2 7B Chat
Page 63/179
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, Human-Computer Interaction
Unlocking Data Insights: A Study on Text Summarization and Hallucinations in Conversational Search
Computation and Language, Computer Science
Improving Text Simplification for Diverse Audiences
Computer Science, Information Retrieval
Revolutionizing Systematic Reviews with Generative AI: Expanding Queries and Enriching Article Search
Efficient Time Series Forecasting in Serverless Computing Environments
Mathematics, Numerical Analysis
Greedy Data Selection Algorithms for Positive Definite Kernels
Computer Science, Cryptography and Security
Fairness in Machine Learning: Challenges, Metrics, and Improvements
Computer Science, Machine Learning
Imitation of Multiple Oracles: A Promising Approach to Policy Improvement in Multi-Agent Reinforcement Learning
Data Analysis, Statistics and Probability, Physics
Deconstructing Drapes: A Comparative Study of Anomaly Detection Methods
Alon-Tarsi Number: An Upper Bound for Graph List Colorings
Computer Science, Computer Vision and Pattern Recognition
Harnessing Adversarial Examples: A Comprehensive Review
Audio and Speech Processing, Electrical Engineering and Systems Science
Machine Learning for Soundscape Analysis and Annoyance Prediction
Electrical Engineering and Systems Science, Signal Processing
Motivation and Methodology for Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Decentralized Reinforcement Learning
Computer Science, Computer Vision and Pattern Recognition
Efficient Fine-Tuning of Pre-trained Models for Downstream Tasks with Minimal Computational Costs
Computer Science, Computer Vision and Pattern Recognition
Dehazing Transformer Network: Enhancing Image Quality through Attention-driven Residual Learning
Computer Science, Machine Learning
Visual Inference and Captioning: Advancing Image Description with Machine Learning
Computer Science, Machine Learning
New Metaplasticity Rule for Continual Learning: Mitigating Catastrophic Forgetting Without Task Boundaries
Computer Science, Cryptography and Security
Unlocking Key Lengths: A Deep Learning Approach to Vigenere Ciphers
Computer Science, Networking and Internet Architecture