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Exploring Compression as a Proxy for Mineability in LLM-Generated Text

  • University of Massachusetts Boston
  • Boston College

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 27th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages176-183
Number of pages8
ISBN (Electronic)9798331590116
DOIs
StatePublished - 2025
Event27th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2025 - Timisoara, Romania
Duration: Sep 22 2025Sep 25 2025

Publication series

NameProceedings - 27th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2025

Conference

Conference27th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2025
Country/TerritoryRomania
CityTimisoara
Period9/22/259/25/25

ASJC Scopus Subject Areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computational Mathematics
  • Numerical Analysis

Keywords

  • data mining
  • huffman compression
  • llm
  • mineability
  • mineability and compression
  • zip compression

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