5 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…