Leveraging large language models (LLMs) for process mining (Technical Report)
A Berti, MS Qafari - arXiv preprint arXiv:2307.12701, 2023 - arxiv.org
This technical report describes the intersection of process mining and large language
models (LLMs), specifically focusing on the abstraction of traditional and object-centric …
models (LLMs), specifically focusing on the abstraction of traditional and object-centric …
How well can large language models explain business processes?
D Fahland, F Fournier, L Limonad, I Skarbovsky… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) are likely to play a prominent role in future AI-augmented
business process management systems (ABPMSs) catering functionalities across all system …
business process management systems (ABPMSs) catering functionalities across all system …
Large Process Models: A Vision for Business Process Management in the Age of Generative AI
The continued success of Large Language Models (LLMs) and other generative artificial
intelligence approaches highlights the advantages that large information corpora can have …
intelligence approaches highlights the advantages that large information corpora can have …
PM-LLM-Benchmark: Evaluating large language models on process mining tasks
Large Language Models (LLMs) have the potential to semi-automate some process mining
(PM) analyses. While commercial models are already adequate for many analytics tasks, the …
(PM) analyses. While commercial models are already adequate for many analytics tasks, the …
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks
The process mining community has recently recognized the potential of large language
models (LLMs) for tackling various process mining tasks. Initial studies report the capability …
models (LLMs) for tackling various process mining tasks. Initial studies report the capability …
Process Modeling With Large Language Models
In the realm of Business Process Management (BPM), process modeling plays a crucial role
in translating complex process dynamics into comprehensible visual representations …
in translating complex process dynamics into comprehensible visual representations …
NLP4PBM: A Systematic Review on Process Extraction using Natural Language Processing with Rule-based, Machine and Deep Learning Methods
W Van Woensel, S Motie - arXiv preprint arXiv:2409.13738, 2024 - arxiv.org
This literature review studies the field of automated process extraction, ie, transforming
textual descriptions into structured processes using Natural Language Processing (NLP) …
textual descriptions into structured processes using Natural Language Processing (NLP) …
Conversing with business process-aware Large Language Models: the BPLLM framework
Abstract Traditionally, process-aware Decision Support Systems (DSSs) have been
enhanced with AI functionalities to facilitate quick and informed decision-making. In this …
enhanced with AI functionalities to facilitate quick and informed decision-making. In this …
Llm-assisted optimization of waiting time in business processes: A prompting method
K Lashkevich, F Milani, M Avramenko… - … Conference on Business …, 2024 - Springer
Waiting is a waste in business processes, adversely affecting performance metrics such as
cycle time or on-time delivery. Process mining techniques allow business users to analyze …
cycle time or on-time delivery. Process mining techniques allow business users to analyze …
ProMoAI: Process Modeling with Generative AI
ProMoAI is a novel tool that leverages Large Language Models (LLMs) to automatically
generate process models from textual descriptions, incorporating advanced prompt …
generate process models from textual descriptions, incorporating advanced prompt …