Abstract: Alphabetic codes and binary search trees are combinatorial structures that abstract search procedures in ordered sets endowed with probability distributions. In this paper, we design new ...

Abstract: The expansion of open-source communities like Github and Stack Overflow has led to an abundance of high-quality code snippets and engineering projects, driving advancements in the domain of ...

The AI-Generated Code Search project provides open source tools to find code that may have been generated using LLMs and GPT tools. Generative AI engines and Large Language Models (LLMs) are emerging ...

Abstract: Efficient codes with high performance and compact size are the endless pursuit in computer systems, ranging from cloud servers to embedded devices. As the vastly predominated structure in ...

Abstract: Given a real dataset and a computation family, we wish to encode and store the dataset in a distributed system so that any computation from the family can be performed by accessing a small ...

In a story that resurfaced and went viral again in late 2025, a 79-year-old British multimillionaire has revived his long-standing matchmaking quest. Sir Benjamin Slade, a baronet and estate owner ...

Abstract: A binary linear code is called asymptotic frame error rate (AFER)-optimal if it achieves the maximum possible value of the minimum distance while having the ...

Abstract: The fixed path Min-Sum (FMS) algorithm efficiently decodes non-binary LDPC codes with low/moderate code rates, but suffers significant performance degradation for high code rates. This paper ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Abstract: The error coefficient of a linear code, defined as the number of its minimum weight codewords, is a key performance metric to evaluate codes with a given ...

Abstract: We propose a neural min-sum (MS) decoder for non-binary LDPC codes by applying deep learning to the decoding with short to moderate code lengths. In this algorithm, the iterations are ...