Luca Maria Aiello

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Researcher with public evidence across Agents & robotics, AI research, NLP & language.

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Computational Social Science researcher interested in Human Coordination and Climate Action. Professor of Data Science at the IT University of Copenhagen. Network Science | NLP | AI agents | Urban Informatics http://www.lajello.com

Articles & links

In heterogeneous system of AI agents, when agents disagree, who persuades whom? We found: 1) Models easily influence each other 2) Model size/certainty doesn't imply resistance to influence 3) Opinion shift is determined mostly by the resistance of the hearer. Preprint: arxiv.…

Peer Influence across Heterogeneous AI Models arxiv.org
AI Weekly's analysis →
  • Across seven open-weight models and three tasks, a dissenting small model can overturn the judgment of a much larger one.
  • Neither standalone certainty nor model scale reliably predicts how a model behaves inside a multi-agent exchange.
  • The size of a persuasion shift depends more on the listener's susceptibility than on the speaker's persuasiveness.
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View on Bluesky · ♥ 21 ↻ 6 ↩ 3 · 2 from the directory shared this · 18d ago

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