2026-1-17: Roundup of Weekly Digests
Generative AI & Large Language Models
Large language models
Generative AI
Multimodal large language models
Vision-language models
Agents
Unleashing the Power of Agents: Recent Breakthroughs in Multi-Agent Systems, Safety, and Performance
Retrieval-augmented generation
Chain-of-thought reasoning
Prompt engineering
Code generation
Text-to-image generation
Mathematical reasoning
Domains & Applications
Healthcare
Fintech
Education
Manufacturing
Transportation
Cybersecurity
Mental health
Robotics
Autonomous systems
Autonomous driving
Dynamic environments
Learning Paradigms
Machine learning
Deep learning
Reinforcement learning
Unsupervised learning
Semi-supervised learning
Self-supervised learning
Active learning
Transfer learning
Meta-learning
Continual learning
Federated learning
Multi-task learning
Representation learning
Contrastive learning
Zero-shot learning
Few-shot learning
In-context learning
Architectures & Core Models
Transformer models
Foundation models
Foundation Models: Navigating the Edge, Embracing Uncertainty, and Pushing Boundaries Across Domains
Diffusion models
Graph neural networks
Mixture-of-experts
Physics-informed neural networks
Attention mechanism
Computer Vision & Graphics
Object detection
Image segmentation
Semantic segmentation
Segment anything model
Optical character recognition
Remote sensing
Gaussian splatting
Deepfake detection
Natural Language & Speech Processing
Natural language processing
Machine translation
Speech recognition
Text-to-speech
Low-resource languages
Arabic
Methodology, Tuning & Data
Anomaly detection
Fine-tuning
Parameter-efficient fine-tuning
Domain adaptation
Domain generalization
Data augmentation
Feature extraction
Uncertainty estimation
Sample efficiency
Class imbalance
Benchmarking
Time series forecasting
Safety, Efficiency & Human Factors
Ethics
Explainable AI
Interpretability
Human-AI collaboration
Robustness
Adversarial training
Adversarial attacks
Differential privacy
Formal verification
Model compression
Knowledge distillation
Energy efficiency
Edge computing
Computational complexity
Catastrophic forgetting
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