3 papers
cs.CV2025
VSC: Visual Search Compositional Text-to-Image Diffusion Model
Do Huu Dat, Nam Hyeonu, Po-Yuan Mao +1
Text-to-image diffusion models have shown impressive capabilities in generating realistic visuals from natural-language prompts, yet they often struggle with accurately binding att…
cs.CL2025
Discrete Diffusion Language Model for Efficient Text Summarization
Do Huu Dat, Do Duc Anh, Anh Tuan Luu +1
While diffusion models excel at conditional generating high-quality images, prior works in discrete diffusion models were not evaluated on conditional long-text generation. In this…
cs.CV2025
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
Do Huu Dat, Po Yuan Mao, Tien Hoang Nguyen +2
Compositional Zero-Shot Learning (CZSL) has emerged as an essential paradigm in machine learning, aiming to overcome the constraints of traditional zero-shot learning by incorporat…