Computer Science, Machine Learning
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
Advancing Domain Generalized Semantic Segmentation with Collaborative Foundation Models
Mathematics, Optimization and Control
Combining Continuous Optimization and Combinatorial Nature for Semi-Supervised Learning
Computer Science, Machine Learning
Impact of Separable Convolutions on Performance in Deep Learning
Computer Science, Social and Information Networks
Exploring Hidden Structures in Complex Networks
Computer Science, Computer Vision and Pattern Recognition
Enhancing Medical Image Captioning with Multimodal Prompts
Computer Science, Machine Learning
Data-Dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
Computer Science, Computer Vision and Pattern Recognition
Unlocking Occluded Person Re-Identification with Attention-Aware Masks
Electrical Engineering and Systems Science, Image and Video Processing
Enhancing Perceptual Video Coding with Deep Learning-Based JND Models
Computer Science, Computer Vision and Pattern Recognition
Reducing the Sim-to-Real Gap in Event Camera SLAM via Non-linear Factor Recovery
Computation and Language, Computer Science
Unlocking Writing Excellence: Preventing Cheating with AI
Computer Science, Cryptography and Security
Skimming Acceleration for Efficient Language Models
Computer Science, Machine Learning
Predicting Concept Prerequisite Relations with Permutation-Equivariant Graph Neural Networks
Efficient Compression and Filtering of Large Graphs Using Binary Notation
Computer Science, Human-Computer Interaction
Uncovering Users’ Subtle Interests: Neural Correlates of Implicit Relevance in Web Search
Computer Science, Information Retrieval
Improving Recommendation with Self-Supervised Learning of Multimodal Embeddings
Computation and Language, Computer Science
Top False Entities as Hard Negatives for Improved Medical Entity Linking
Computer Science, Computer Vision and Pattern Recognition
Zero-Shot Text-to-Image Generation with Multimodal Encoding
Computer Science, Cryptography and Security
Reimagining Tech: The Future of Innovation
Computer Science, Machine Learning