Diffusion Large Language Models

Researchers introduced ACache, an affix-oriented cache reuse mechanism for Diffusion Large Language Models (DLLMs) that selectively recomputes key-value states of critical Anchor Tokens to maintain ac…

Researchers propose DC-Leap, a training-free framework that accelerates Diffusion Large Language Models (dLLMs) by up to 53.19x on MBPP for long-sequence generation and up to 105.02x when combined wit…

Researchers have identified and characterized positional bias in in-context learning for diffusion large language models (dLLMs), showing that query placement significantly affects generation quality.…