CForce Method Overview
CForce: Boosting Parallel Decoding for dLLMs via Consistency Forcing
Yuji Ren*, Chenkai Xu*, Z Gong, J Li, Z Deng
* Equal contribution.
EMNLP 2026 arXiv:2608.13925 PDF Document ↗ GitHub ↗
LoPA Method Diagram
LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding
Chenkai Xu*, Y Jin*, J Li, Y Tu, G Long, D Tu, M Song, H Si, T Hou, J Yan, Z Deng
* Equal contribution.
Diffusion LLM Method Diagram
Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
X Wang*, Chenkai Xu*, Y Jin, J Jin, H Zhang, Z Deng
* Equal contribution.
ICLR 2026 arXiv:2508.09192 PDF Document ↗ GitHub ↗ Blog ↗
UniCMs Method Diagram
UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding
Chenkai Xu*, X Wang*, Z Liao, Y Li, T Hou, Z Deng
* Equal contribution.
ACL 2026 arXiv:2502.05415 PDF Document ↗ GitHub ↗
Multi-Block Diffusion Language Models Figure 4
Multi-Block Diffusion Language Models
Y Jin, J Xu, Y Liu, Chenkai Xu, Y Tu, J Li, D Tu, X Yan, K Yu, P Liu, Z Deng
EMNLP 2026 arXiv:2606.29215v1 PDF Document ↗ GitHub ↗ Blog ↗

Technical Stack

Python PyTorch LaTeX COMSOL