Author

T. Aste

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Preprint Aug 2026

When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding

We study how teams of AI coding agents coordinate while solving programming tasks. Current evaluations usually report whether the agents complete the task and how much the run costs, leaving the coordination inside the team largely unmeasured. We introduce an instrument to measure this coordination. Each run is represe...

Giuseppe Destefanis, T. Aste · 3 citations · ⚡1

#graph neural networks Preprint Aug 2026

Dependence-Informed Sparse Neural Architecture for Stock Return Prediction

Two structural ablations indicate that both the sparse connectivity and the estimated grouping of characteristics contribute to the ranking advantage, and both effects remain significant after correcting for multiple testing.

Hongyu Lin, Yulin Chen, Yuanrong Wang et al. · 0 citations