65 citations · 66 across the 3 of their papers we have counts for
3 papers
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…
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…
A 72h exploration of the co-evolution of food insecurity and international migration
Duncan Cassells, Lorenzo Costantini, Ariel Flint Ashery +5
Food insecurity, defined as the lack of physical or economic access to safe, nutritious and sufficient food, remains one of the main challenges of the 2030 Agenda for Sustainable D…