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: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...
Can my car be used? Sorry, this is just a program I created while decoding my 206CC 1.6L, I can only guarantee its usability for my car. Peugeot 206 and 206+have many ...
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 ...
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