Recently there has been a significant surge in multimodal learning in terms of both image-to-
text and text-to-image generation. However, the success is typically limited to English …

Text-to-image synthesis, the process of turning words into images, opens up a world of
creative possibilities, and meets the growing need for engaging visual experiences in a …

Advancements in LLMs have recently unveiled challenges tied to computational efficiency
and continual scalability due to their requirements of huge parameters, making the …

Text-to-image diffusion models are well known for their ability to generate realistic images
based on textual prompts. However, the existing works have predominantly focused on …

Text-to-image synthesis for the Chinese language poses unique challenges due to its large
vocabulary size, and intricate character relationships. While existing diffusion models have …

This doctoral thesis explores the integration of Generative AI, specifically Large Language
Models (LLMs) and diffusion models, in educational platforms. Emphasis is placed on cross …