6 papers
Stabilizing Reinforcement Learning for Diffusion Language Models
Jianyuan Zhong, Kaibo Wang, Ding Ding +5
Group Relative Policy Optimization (GRPO) is highly effective for post-training autoregressive (AR) language models, yet its direct application to diffusion large language models (…
Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes
Fangyu Ding, Ding Ding, Sijin Chen +8
While Masked Diffusion Language Models (MDLMs) relying on token masking and unmasking have shown promise in language modeling, their computational efficiency and generation flexibi…
On the -Free Inference Complexity of Absorbing Discrete Diffusion
Xunpeng Huang, Yingyu Lin, Nishant Jain +4
Absorbing discrete diffusion has emerged as a dominant framework for discrete data generation. However, a significant disparity remains between its empirical success and theoretica…
StablePDENet: Enhancing Stability of Operator Learning for Solving Differential Equations
Chutian Huang, Chang Ma, Kaibo Wang +1
Learning solution operators for differential equations with neural networks has shown great potential in scientific computing, but ensuring their stability under input perturbation…
Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations
Kaibo Wang, Jianda Mao, Tong Wu +1
Classifier-Free Guidance (CFG) is an essential component of text-to-image diffusion models, and understanding and advancing its operational mechanisms remains a central focus of re…
TweezeEdit: Consistent and Efficient Image Editing with Path Regularization
Jianda Mao, Kaibo Wang, Yang Xiang +1
Large-scale pre-trained diffusion models empower users to edit images through text guidance. However, existing methods often over-align with target prompts while inadequately prese…