[Note this is an in-progress specification to be used in an upcoming format.] The decoder supports adaptive binary and multi-symbol models, as well as specialized encoding schemes like truncated ...

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 an essential branch of chemical science, biochemical analysis is widely applied in disease diagnosis, food safety testing, environmental monitoring, and other fields. Artificial intelligence (AI) ...

“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 ...

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

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: This project aims to develop an Android application which performs arithmetic encoding and decoding. The application is mainly developed for learning purpose. Arithmetic coding is superior ...