XCompress: LLM assisted Python-based text compression toolkit

This study introduces XCompress, a Python-based tool for effectively utilizing various compression algorithms. XCompress offers manual, brute force, and Large Language Model (LLM) methods to determine the most suitable algorithm based on the type of text data. Its modular structure allows easy addition of new algorithms and includes functions for benchmarking and result comparison. Tests on diverse text types demonstrate the efficacy of the LLM-assisted Compression Selection Model (CSM). With XCompress, users can determine the most suitable method for their files. Additionally, in academic research, they can easily compare different methods without needing any scripting or programming language.

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Publication Details

Journal
SoftwareX
Published
2024-08-12
DOI
https://doi.org/10.1016/j.softx.2024.101847
Citations
1
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
0.35
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article

XCompress: LLM assisted Python-based text compression toolkit

Emır Öztürk
1 citations
SoftwareX
Algorithms and Data Compression
0.35
article

XCompress: LLM assisted Python-based text compression toolkit

Emır Öztürk
article en
1 citations

Abstract

This study introduces XCompress, a Python-based tool for effectively utilizing various compression algorithms. XCompress offers manual, brute force, and Large Language Model (LLM) methods to determine the most suitable algorithm based on the type of text data. Its modular structure allows easy addition of new algorithms and includes functions for benchmarking and result comparison. Tests on diverse text types demonstrate the efficacy of the LLM-assisted Compression Selection Model (CSM). With XCompress, users can determine the most suitable method for their files. Additionally, in academic research, they can easily compare different methods without needing any scripting or programming language.

SoftwareXVol. 27
Trakya University (TR)
Openalex Percentile: Top 35%
Algorithms and Data Compression
0.35
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