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[Note this is an in-progress specification to be used in an upcoming format.] At a high level, the decoder works by maintaining a current range (defined by a base value and length) within a large ...
Abstract: As an alternative implementation of Slepian-Wolf coding, distributed arithmetic coding is very competitive in short and medium block lengths. The existing distributed arithmetic coding ...
As companies like Amazon and Microsoft lay off workers and embrace A.I. coding tools, computer science graduates say they’re struggling to land tech jobs. Manasi Mishra recently graduated from Purdue ...
“LLM decoding is bottlenecked for large batches and long contexts by loading the key-value (KV) cache from high-bandwidth memory, which inflates per-token latency, while the sequential nature of ...
Despite expectations that students master basic reading skills by third grade, many continue to struggle with reading into upper elementary school and beyond. A new study commissioned by the Advanced ...
A key question about LLMs is whether they solve reasoning tasks by learning transferable algorithms or simply memorizing training data. This distinction matters: while memorization might handle ...
ABSTRACT: Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression ...