Diffusion LLMs: Progress and Prospects

Junbo Zhao, lead of LLaDA, reviews a year of diffusion LLM progress from LLaDA-MoE to LLaDA 2.2, discussing theoretical challenges and practical prospects, and analyzing dLLM's advantages over autoregressive models, sparking debate on whether diffusion can disrupt the AR paradigm.

2026-08-10 ~ 2026-08-10 · 2 related posts

• LLaDA Lead Shares Pragmatic Thoughts on Diffusion Language Models — A_K_Nain · 2026-08-10
• Rethinking Diffusion Language Models: Can dLLMs Replace Autoregressive Models? — mblondel_ml · 2026-08-10