Published Articles
Explore peer-reviewed open access articles published in Social Sciences Open. All articles are permanently available to readers worldwide under CC BY 4.0.
This study provides an in-depth analysis of attention mechanism variations in transformer architectures. We examine computational efficiency, interpretability, and performance trade-offs across multiple attention types, providing guidelines for practitioners.
We present a comprehensive framework for addressing ethical concerns in LLM deployment, covering bias mitigation, transparency, accountability, and fairness. Our framework integrates technical and governance approaches with evidence from real-world implementations.
This systematic review synthesizes findings from 156 studies on deep learning applications in medical imaging. We identify key algorithms, datasets, and challenges while proposing standardized evaluation metrics for clinical deployment.