Author

Carolina Fortuna

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#artificial intelligence Preprint Sep 2026

An Exact Generate - Transform Decomposition of Small-LLM Team Scaling Across Orchestration Architectures

Replacing one LLM agent with a collaborating team can raise accuracy, but whether scaling the team helps, and which architecture to scale, is unclear. Sweeping eight agent orchestration architectures across five instruction-tuned 7-9B models, five short-answer benchmarks, and an executable-code benchmark up to 30 calls...

Blaž Bertalanič, Carolina Fortuna · 0 citations

#artificial intelligence Preprint Sep 2026

Multi-agent Scaling Across Disjunctive and Compensatory Tasks

This work introduces Steiner's taxonomy of group tasks as a framework for analyzing multi-agent LLM scaling and shows that task structure is a fundamental determinant of team scaling.

Carolina Fortuna, Blaž Bertalanič · 0 citations

#artificial intelligence Preprint Sep 2026

Where Should Agents Live? Energy-Memory Characterization of Agentic AI for the Edge-Cloud Continuum

This work introduces agentic-eCAL, generalizing the Energy Cost of AI Lifecycle (eCAL) metric to directed multi-agent workflows by coupling a closed-form two-rate single-call energy model (compute-bound prefill and memory-bound decode) with 7-layer OSI data transport.

Carolina Fortuna, Vid Hanžel, Tim Strnad et al. · 0 citations