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 ...

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: Streaming forward erasure correction (FEC) is effective for achieving low-latency packet delivery over loss links. Two decoding strategies, namely the forward-first or backward-first ...

In Delhi’s National Capital Region (NCR), vehicular emission is the primary source of air pollution, especially in terms of fine particulate matter (PM2.5) and toxic gases such as carbon monoxide, ...

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 ...