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researcher

Michal Sroka

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.SE1

identity via Semantic Scholar / OpenAlex

most citedChit-Chat or Deep Talk: Prompt Engineering for Process Mining

8 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2024★ 1 cited

Re-Thinking Process Mining in the AI-Based Agents Era

Alessandro Berti, Mayssa Maatallah, Urszula Jessen +2

Large Language Models (LLMs) have emerged as powerful conversational interfaces, and their application in process mining (PM) tasks has shown promising results. However, state-of-t…

cs.SE2023

Recording of 50 Business Assignments

Michal Sroka, Mohammadreza Fani Sani

One of the main use cases of process mining is to discover and analyze how users follow business assignments, providing valuable insights into process efficiency and optimization.…

cs.AI2023★ 8 cited

Chit-Chat or Deep Talk: Prompt Engineering for Process Mining

Urszula Jessen, Michal Sroka, Dirk Fahland

This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.