LLM-DPM - Workshop on Large Language Models for Data Process Management
Year: 2025
Type: conference-paper
Abstract: The LLM-DPM Workshop investigates the transformative impact of Large Language Models (LLMs) and Explainable AI (XAI) on Data and Process Management. With organizations facing growing dependence on intricate data-driven workflows, there is an urgent demand for systems that prioritize not only efficiency but also transparency, reliability, and equity. This workshop serves as a dedicated platform to explore the convergence of LLMs, process mining, and database technologies, tackling critical issues such as enhancing data integrity, refining query understanding, forecasting process outcomes, and optimizing system performance. Featuring technical discussions, keynote speeches, and collaborative panels, LLM-DPM seeks to bridge the gap between academic research and industry applications, inspiring innovative approaches and advancing the creation of accountable, AI-powered solutions for process management challenges.
Authors: Faiza Allah Bukhsh, Paolo Ceravolo, Xu Chu, Samira Maghool, Eugene Wu, Cong Yu
Institutions: University of Twente, University of Milan, Columbia University
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4411374176