3 papers
cs.CL2026
FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation--Full Version
Dat Nguyen-Cong, Tung Kieu, Hoang Thanh-Tung
Self-conditioning has been central to the success of continuous diffusion language models, as it allows models to correct previous errors. Yet its ability degrades precisely in the…
cs.CV2025
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction
Dat Nguyen Cong, Hieu Tran Bao, Hoang Thanh-Tung
Diffusion models have gained prominence as state-of-the-art techniques for synthesizing images and videos, particularly due to their ability to scale effectively with large dataset…
cs.CV2025
Learning to Stop Overthinking at Test Time
Hieu Tran Bao, Nguyen Cong Dat, Nguyen Duc Anh +1
Test time scaling is currently one of the most active research areas that shows promise after training time scaling has reached its limits. Deep-thinking (DT) models are a class of…