Weekly Roundup: Latest Research Digests from SciPaperMill (Jan 3, 2026)

[Kareem Darwish]

Dear Colleagues,

I am writing to share the latest weekly research digests from SciPaperMill, which has just been published. Enjoy:

Generative AI & Large Language Models

Large language models | Generative AI | Multimodal large language models | Vision-language models | Agents | Retrieval-augmented generation | Chain-of-thought reasoning | Prompt engineering | Code generation | Text-to-image generation | Mathematical reasoning

Natural Language & Speech Processing

Natural language processing | Machine translation | Speech recognition | Text-to-speech | Low-resource languages | Arabic

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 | 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

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

Best regards,

Kareem

[Kareem Darwish]

Here is the link to the Arabic NLP digest: https://scipapermill.com/index.php/2026/01/03/arabic-nlp-unlocked-new-datasets-robust-models-and-unseen-challenges/

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