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 ...

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, ...

The room we are in is locked. It is windowless and lit from above by a fluorescent bulb. In the hallway outside—two stories beneath the city of London—attendants in dark suits patrol silently, giving ...

Abstract: Projection-aggregation decoding provides state-of-the-art performance for decoding Reed-Muller codes. This type of decoding relies on projecting onto subspaces, decoding the projections, and ...

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 ...

This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...