Abstract: The paper implemented a Semi-Non-Prefix (SNP) Huffman coding algorithm for lossless text compression and compared it with traditional Run-Length encoding (RLE), Shannon-Fano, LZ77, and LZ78 ...
Abstract: The paper investigated the Huffman coding behavior across datasets consisting of 5 symbols (38,225 rows), 10 symbols (2,977,866 rows), and 15 symbols (9,921,212 rows), under varying ...
In this tutorial, we work directly with Qwen3.5 models distilled with Claude-style reasoning and set up a Colab pipeline that lets us switch between a 27B GGUF variant and a lightweight 2B 4-bit ...
In this tutorial, we build an uncertainty-aware large language model system that not only generates answers but also estimates the confidence in those answers. We implement a three-stage reasoning ...