Symbiotic Transformer

"Symbiotic Transformer" research explores the synergistic combination of different models or data sources to improve performance beyond what individual components can achieve. Current work focuses on applying this concept to diverse areas, including image generation, trajectory prediction, and citation recommendation, often employing diffusion models, manager-worker frameworks, and transformer architectures. This approach holds significant promise for enhancing the accuracy and efficiency of various machine learning tasks and for creating more robust and adaptable systems in diverse fields like urban planning and cybersecurity.