activity
20232026
most citedHow well can a large language model explain business processes as perceived by users?

30 citations · 36 across the 13 of their papers we have counts for

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9 papers · 1 filter

cs.AI2026

A Process Harness for Uplifting Legacy Workflows to Agentic BPM: Design and Realization in CUGA FLO

Fabiana Fournier, Lior Limonad

We introduce the process harness, a new mechanism for uplifting legacy workflows into Agentic Business Process Management (Agentic BPM) without replacing the underlying workflow en…

cs.AI2026

Semantic Feature Analysis: Improving Agents Without Searching Over Rollouts

Roi Ben-Gigi, Yuval David, Fabiana Fournier +4

Ambiguity is an inherent property of natural-language agent specifications. When a system prompt leaves behaviour underdetermined, identical inputs follow divergent execution paths…

cs.AI2026

Agentic Business Process Management: A Research Manifesto

Diego Calvanese, Angelo Casciani, Giuseppe De Giacomo +15

This paper presents a manifesto that articulates the conceptual foundations of Agentic Business Process Management (APM), an extension of Business Process Management (BPM) for gove…

cs.AI2025

The WHY in Business Processes: Unification of Causal Process Models

Yuval David, Fabiana Fournier, Lior Limonad +1

Causal reasoning is essential for business process interventions and improvement, requiring a clear understanding of causal relationships among activity execution times in an event…

cs.AI2025

Agentic AI Process Observability: Discovering Behavioral Variability

Fabiana Fournier, Lior Limonad, Yuval David

AI agents that leverage Large Language Models (LLMs) are increasingly becoming core building blocks of modern software systems. A wide range of frameworks is now available to suppo…

cs.AI2024★ 1 cited

Monetizing Currency Pair Sentiments through LLM Explainability

Lior Limonad, Fabiana Fournier, Juan Manuel Vera Díaz +3

Large language models (LLMs) play a vital role in almost every domain in today's organizations. In the context of this work, we highlight the use of LLMs for sentiment analysis (SA…

cs.AI2024

Towards a Benchmark for Causal Business Process Reasoning with LLMs

Fabiana Fournier, Lior Limonad, Inna Skarbovsky

Large Language Models (LLMs) are increasingly used for boosting organizational efficiency and automating tasks. While not originally designed for complex cognitive processes, recen…

cs.AI2024★ 30 cited

How well can a large language model explain business processes as perceived by users?

Dirk Fahland, Fabiana Fournier, Lior Limonad +2

Large Language Models (LLMs) are trained on a vast amount of text to interpret and generate human-like textual content. They are becoming a vital vehicle in realizing the vision of…

cs.AI2023★ 5 cited

The WHY in Business Processes: Discovery of Causal Execution Dependencies

Fabiana Fournier, Lior Limonad, Inna Skarbovsky +1

Unraveling the causal relationships among the execution of process activities is a crucial element in predicting the consequences of process interventions and making informed decis…