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: In this letter, we propose a low-complexity universal decoder for product codes based on guessing codeword decoding (GCD). Recognizing that errors typically concentrate at the intersections ...

Just like with real cars, My Winter Car‘s vehicles have a unique Vehicle Identification Number tied to them that can provide information on their history. Why does this matter, you ask? In My Winter ...

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 ...

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 ...