HackerPapers

arXiv:2404.06035cs.DB

PM4Py.LLM: a Comprehensive Module for Implementing PM on LLMs

Alessandro Berti

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

pm4py is a process mining library for Python implementing several process mining (PM) artifacts and algorithms. It also offers methods to integrate PM with large language models (LLMs). This paper examines how the current paradigms of PM on LLM are implemented in pm4py, identifying challenges such as privacy, hallucinations, and the context window limit.

arXiv comments
Journal reference
DOI
Subjects
cs.DBDatabases

On Hacker News

Linked by 1 identifiable commenter in 1 comment across 1 thread, from Apr 2024 to Apr 2024.

Comments linking this paper, per year.

Discussed in comments1 thread

    • The goal is to have a deterministic representation of a process that can be traversed in order to accomplish a task. There's a lot of literature around process mining, e.g.: - https://en.wikipedia.org/wiki/Process_mining…

      abrichrView on HNParent context

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.