We introduce dParallel, a simple and effective method that unlocks the inherent parallelism of dLLMs for fast sampling. We identify that the key bottleneck to parallel decoding arises from the ...

Abstract: Brain semantic decoding has received a surge of attention in the computer vision and neuroscience disciplines. However, existing techniques ignore the sparse and implicit semantic analysis ...

As a tech journalist for the past 20 years, I’ve had a front-row seat to the slow death of the English language, driven by the engineers and marketers of Silicon Valley who use clunky abbreviations, ...

We propose FreeDave (Free Draft-and-Verification), a fast sampling algorithm for diffusion language models, which achieves lossless parallel decoding via a pipeline of parallel-decoded candidate ...

Abstract: This article irons out the issue of recursive state estimation for mobile robot localization under a multiple description coding scheme. For the sake of optimizing the utilization of channel ...