LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.
During bottom-up assembly, the encoder finds the optimal cutoff: the earliest depth where the rANS encoding is smaller than the entire remaining subtree. If that depth exists, it halts there and ...
The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
Abstract: Test data compression and test resource partitioning (TRP) are necessary to reduce the volume of test data for system-on-a-chip designs. We present a new class of variable-to-variable-length ...
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 ...
Abstract: Characterized by the rapid advancement of artificial intelligence, an abundance of data translates into an expanse of potentialities. Consequently, the challenge of storing large amount of ...
This repo contains a fast SSE 4.1 optimized 24-bit interleaved Pavlov/Subbotin Range Coder for 8-bit alphabets. SSE 4.1 decoding is very fast on the Intel/AMD CPU's I've tried, at around 550-700 ...
Microsoft last month received a US patent covering modifications to a data-encoding technique called rANS, one of several variants in the Asymmetric Numeral System (ANS) family that support data ...
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