| Diffusion llms can do faster-than-ar inference via discrete diffusion forcing X Wang, C Xu, Y Jin, J Jin, H Zhang, K Yu, Z Deng International Conference on Learning Representations 2026, 2282-2299, 2026 | 90 | 2026 |
| Lopa: Scaling dllm inference via lookahead parallel decoding C Xu, Y Jin, J Li, Y Tu, G Long, D Tu, M Song, H Si, T Hou, J Yan, Z Deng arXiv preprint arXiv:2512.16229, 2025 | 17 | 2025 |
| UniCM: A Unified Consistency Model For Efficient Multimodal Generation and Understanding C Xu, X Wang, Z Liao, Y Li, T Hou, Z Deng Findings of the Association for Computational Linguistics: ACL 2026, 18214-18233, 2026 | 12* | 2026 |
| Diffusion llms can do faster-than-ar inference via discrete diffusion forcing, 2025 X Wang, C Xu, Y Jin, J Jin, H Zhang, Z Deng URL https://arxiv. org/abs/2508.09192, 0 | 8 | |
| CForce: Boosting Parallel Decoding for dLLMs via Consistency Forcing Y Ren, C Xu, Z Gong, J Li, Z Deng arXiv preprint arXiv:2608.13925, 2026 | 1 | 2026 |
| Multi-Block Diffusion Language Models Y Jin, J Xu, Y Liu, C Xu, Y Tu, J Li, D Tu, X Yan, K Yu, P Liu, Z Deng arXiv preprint arXiv:2606.29215, 2026 | | 2026 |