3 papers
cs.MA2025
Group size effects and collective misalignment in LLM multi-agent systems
Ariel Flint, Luca Maria Aiello, Romualdo Pastor-Satorras +1
Multi-agent systems of large language models (LLMs) are rapidly expanding across domains, introducing dynamics not captured by single-agent evaluations. Yet, existing work has most…
cs.CL2025
Reply to "Emergent LLM behaviors are observationally equivalent to data leakage"
Ariel Flint Ashery, Luca Maria Aiello, Andrea Baronchelli
A potential concern when simulating populations of large language models (LLMs) is data contamination, i.e. the possibility that training data may shape outcomes in unintended ways…
cs.MA2025
Emergent social conventions and collective bias in LLM populations
Ariel Flint Ashery, Luca Maria Aiello, Andrea Baronchelli
Social conventions are the backbone of social coordination, shaping how individuals form a group. As growing populations of artificial intelligence (AI) agents communicate through…